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Data Mining Lecture - - Data Analytics life cycle (Eng-Hindi)
 
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Business Intelligence Big data issues are solved using data analytics life cycle The key roles of data analytics are explained -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~-
Views: 20779 Well Academy
F1F9 Webinar: How to correctly value mining projects.
 
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The appropriate methodologies for valuing mining projects across the project development cycle.    In this 60 minute webinar, presented by two leading international mining experts you'll learn: •         What valuation approaches are appropriate at each stage of the Mineral Resource Development Cycle, from Exploration and Preliminary Economic Assessment through Feasibility and Operational life-cycle stages. •         When and how to apply prescribed approaches contained in the mining Valuation Codes (VALMIN, SAMVAL and CIMVAL) to produce compliant valuations. •         Which modelling techniques should be applied and when.  •         The required level of detail and accuracy and expected outcomes at each stage of the Development Cycle.  The webinar will be presented by: Carel de Jager, Chairman of Value Chain Excellence, a mining industry consultancy  Dennis Cowen, Associate Director, Mining at F1F9
Views: 2466 F1F9
Critical Elements Rose Lithium-Tantalum Project Life Cycle
 
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The mining operation production rate is set to approximately 15 Mt of material per year. An open pit mining schedule was planned and resulted in a mine life of 17 years.
The Data Science / Data Analytics / CRISP-DM Cycle
 
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I have data lying around. How do I start - and continue - if I want to build a predictive model based on these data? Well, it is not really like following a cooking recipes with precise steps. It is more like adjusting the steps here and there, going back and starting again with different parameters or maybe even more drastically anew with different algorithms. This video explains this general iterative process.
Views: 5983 KNIMETV
Data Analytics Life Cycle (HINDI)
 
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Subscribe To My YouTube Channel 5 Minutes Engineering http://www.youtube.com/c/5MinutesEngineering Data analytics Life cycle overview or phases Discovery, data preparation, model planning, model building, communication results and operationalize. Hello dosto mera naam hai shridhar mankar aur mein aap Sabka Swagat karta hu 5-minutes engineering channel pe. This channel is launched with a aim to enhance the quality of knowledge of engineering,here I am going to introduce you to every subject of computer engineering like artificial intelligence database management system software modeling and designing Software engineering and project planning data mining and warehouse data analytics Mobile communication Mobile computing Computer networks high performance computing parallel computing Operating system Software programming SPOS web technology internet of things design and analysis of algorithm
Views: 12181 5 Minutes Engineering
The Mine Cycle
 
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Join Lila Michael as she learns the mine cycle phases. She will take you through Barrick North America's Cortez Mine, an active and modern gold mine located in Northeastern Nevada. Video produced by Freelance Productions.
Views: 71594 nevadamining
Modern Mining - How Eagle Mine produces nickel and copper
 
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This video will take you step-by-step through Eagle's mining process. In addition, the video explains the techniques we use to find nickel and copper. About us: Eagle Mine is a nickel-copper mine located in Michigan's Upper Peninsula. The underground mine is expected to produce 360 million pounds of nickel, 295 million pounds of copper and small amounts of other metals over its estimated eight year mine life. Eagle Mine is owned and operated by Lundin Mining Corporation.
Views: 83857 Eagle Mine
Data Science/Machine Learning Project Life cycle
 
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------------------------------------------------------- *About us* Applied AI course (AAIC Technologies Pvt. Ltd.) is an Ed-Tech company based out in Hyderabad offering on-line training in Machine Learning and Artificial intelligence. Applied AI course through its unparalleled curriculum aims to bridge the gap between industry requirements and skill set of aspiring candidates by churning out highly skilled machine learning professionals who are well prepared to tackle real world business problems. *Key highlights of Applied AI course* 1. Job guarantee or money back guarantee 2. Query resolution inside 24 hours 3. Personalized learning path for every course participant 4. 30 Practical Assignments 5. 15 end-to-end case studies based on real world problems across various industries 6. Mentor-ship for portfolio development, resume and interview preparation, and career counseling for every course participant For More information Please visit https://www.appliedaicourse.com/ For any queries you can either drop a mail to [email protected] or call us at +91 8106-920-029 or +91 6301-939-583 Facebook: https://www.facebook.com/appliedaicourse/ Soundcloud: https://soundcloud.com/applied-ai-course Twitter: https://twitter.com/appliedaicourse #AppliedAICourse#Datascience#MachineLearning#ProjectLifecycle
Views: 5837 Applied AI Course
The Business of Mining | CurtinX on edX | Course About Video
 
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Take this course for free on edX: https://www.edx.org/course/business-mining-curtinx-tbomx ↓ More info below. ↓ Follow on Facebook: https://www.facebook.com/edX Follow on Twitter: https://www.twitter.com/edxonline Follow on YouTube: https://www.youtube.com/user/edxonline About this course Mining underpins much of our technology and industries as well as modern society in general. A successful mine should be run efficiently and responsibly from exploration through to closure, with sound economic management every step of the way. In this course you’ll examine the business aspect of mining, focusing on the life cycle of a gold mine and discovering the technical and economic issues that affect the exploration, planning, operation and closure of a large-scale mining project.
Views: 1650 edX
Brian Carter: Lifecycle of Web Text Mining: Scrape to Sense
 
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Pillreports.net is an on-line database of reviews of Ecstasy pills. In consumer theory illicit drugs are experience goods, in that the contents are not known until the time of consumption. Websites like Pillreports.net, may be viewed as an attempt to bridge that gap, as well as highlighting instances, where a particular pill is producing undesirable effects. This talk will present the experiences and insights from a text mining project using data scraped from the Pillreports.net site.The setting up and the benefits, ease of using BeautifulSoup package and pymnogo to store the data in MongoDB will be outlined.A brief overview of some interesting parts of data cleansing will be detailed.Insights and understanding of the data gained from applying classification and clustering techniques will be outlined. In particular visualizations of decision boundaries in classification using "most important variables". Similarly visualizations of PCA projections for understanding cluster separation will be detailed to illustrate cluster separation. The talk will be presented in the iPython notebook and all relevant datasets and code will be supplied. Python Packages Used: (bs4, matplotlib, nltk, numpy, pandas, re, seaborn, sklearn, scipy, urllib2) Brian Carter
Views: 1188 PyData
Mining - Project Management
 
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Introducing Lumière, the Business Performance Platform for the Mining Industry Visit our video channel at: https://www.youtube.com/channel/UC5e_lSCcnNigtPOg1TQt1rQ
Views: 48 Lumière Analytics
Human Stories from the Life Cycle of Coal
 
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Donate today: www.donategreenpeace.com From the mountains of Kentucky, to the innercity neighborhoods of Chicago, the entire life cycle of coal is filthy - from disastrous mining practices like mountaintop removal, to toxic emissions. What is the true cost of coal on our planet, and on the lives and health of ordinary Americans? Hear firsthand stories from local activists Nina and Mickey McCoy (Inez, KY), and Leila Mendez (Chicago).
Views: 22254 Greenpeace USA
Horizon 2020 – Funding Project Life Cycle
 
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An introduction about the life cycle of funding projects under the Horizon 2020 Programme. Find out more: https://ec.europa.eu/research/participants/portal/desktop/en/funding/
EarthSoft Currents Week 37 2018 Video Newsletter
 
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New Staff! EarthSoft welcomes Mathew Cleghorn Systems Analyst Perth, Australia New Industry Insight: Mining Project Life Cycle for Environmental Data Management READ: https://earthsoft.com/2018/09/05/mining-project-life-cycle-for-environmental-data-management/ Office Hour Exploring EQuIS 7: Manage Sensor Data with EQuIS Deriver and Computation Agents Intermediate Skill September 20 11am ET8 Register: https://goo.gl/2NbX6Z The Wood Group renewed Software Maintenance Agreement! Thank you! New Office Hour Video: Exploring EQuIS 7: Design Enterprise Dashboards VIEW: https://community.earthsoft.com/ (Registration Required) EarthSoft's Guilherme Amaro speaking at GIS workshop with Jacobs at EKOS Brasil November 1, in Sao Paulo. INFO: http://seminario.ekosbrasil.org/wpcontent/uploads/2018/07/Workshop_04_SIG.pdf EQuIS Collect Videos: EQuIS Collect Field Attributes View: http://www.screencast.com/t/u30NtN47yAyi EQuIS Collect How to Create a New Dashboard View: http://www.screencast.com/t/KcWsjf7r6FDn EQuIS Collect How to Update Map Extent in Collect View: http://www.screencast.com/t/8q6GvqeZ EQuIS Collect Create Your First Form View: http://www.screencast.com/t/Gur’s EQuIS Collect Build an EQEDD Water Level Form View: http://www.screencast.com/t/NA8KFA3gla EQuIS Collect Build EQuIS Collect Forms View: http://www.screencast.com/t/IR22iMI130 ----------------------------------------------------------------------- EQuIS is used on many Coal Combustion Residuals (CCR) Sites. Ask about our CCR Dashboards! Write [email protected] GZA is first to order EQuIS Collect 25-pack! Haley & Aldrich has multiple open Environmental Data Analyst Positions with EQuIS skills! @haleyaldrich INFO: https://haleyaldrich.csod.com/ats/careersite/JobDetails.aspx?id=219 "Standard Lithium tries new approach to speed up production in Arkansas" Read: http://www.mining.com/standard-lithium-tries-new-approach-speed-production-arkansas/ New Industry Insights Article! Power Users vs. Casual Users. What’s the Difference? READ: https://earthsoft.com/2018/08/22/power-users-vs-casual-users-whats-the-difference EarthSoft announces new EDDs (Action Levels) for multiple Australian federal regulations and for the Environment Protection Authority of Victoria. EQuIS Alive Product Advisory Forum September 28 12pm ET Discussion will include topics on managing taxonomy data, surveys, and revisions! Register: https://register.gotowebinar.com/#register/231295854544826113?source=sm US Army Corps of Engineers, Seattle District renewed Software Maintenance Agreement! Thank you for the continued support. EQuIS Enterprise Dashboard Workshop Brisbane, Australia! Learn the skills and techniques for building and customizing EQuIS Enterprise Dashboards. Oct 15-16 Brisbane Australia! Register: http://goo.gl/qmNJAG $1050 AUD per person Own Your Environmental Data Workflow – An Environmental Managers Guide. Read more: https://earthsoft.com/2018/07/02/own-your-environmental-data-workflow-a-guide-for-environmental-manager A rare footage of an oil producing well, showing how oil flows through perforations. View: https://www.linkedin.com/feed/update/urn:li:activity:6436164538705510400/ https://goo.gl/ugRdU7 Graphics Product Advisory Forum Clients can share their experiences with EQuIS EnviroInsite and ESRI clients! EQuIS & ArcGIS Sept 21 12pm ET Register: http://goo.gl/WbiQ2c Mid-Atlantic and Government EQuIS User Group at Delaware DNREC Sept 21 10-3pm ET Register: https://goo.gl/hVVhtT EarthSoft is hiring! Visit: https://earthsoft.com/jobs-at-earthsoft/ Delaware DNREC Hosts East Coast Open Training Improve your skills & techniques managing EQuIS workflows! September 18 - 20 New Castle, Delaware Register: https://goo.gl/dnw5uJ Fee: $2400 USD per person ------------------------------------------------------------------- For more information about upcoming Office Hour sessions click here: https://earthsoft.com/support/office-hours-schedule/ Join our mailing list and know about our upcoming webinars and events first! http://eepurl.com/dilT5L VISIT EarthSoft YouTube Channel for More Videos: https://www.youtube.com/user/earthsoft/videos SUBSCRIBE Get emails for future EarthSoft videos: http://www.youtube.com/subscription_center?add_user=earthsoft -------------------------------------------------------------------
Views: 12 EarthSoft
Fair Mining Collaborative on the Lifecycle of a Mine in BC
 
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How many steps does it take for a company to open a mine in BC? Let Community Circuit Rider Stan Tomandl of the Fair Mining Collaborative explain the life cycle of a mine in BC, from prospecting to exploration, permitting to closure. For more information, please visit us at our website: http://fairmining.ca
Views: 90 Fair Mining
EarthSoft Currents Week 39 2018 Video Newsletter
 
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EarthSoft welcomes Annie Cook as a Software Technologist! #EarthSoft  ddms has a Sr. Data Analyst opening for someone with EQuIS skills: INFO:http://www.ddmsinc.com/about-us/careers/career-opportunities-openings/environmental-data-analyst/ Industry Insight: Mining Project Life Cycle for Environmental Data Management: https://earthsoft.com/2018/09/05/mining-project-life-cycle-for-environmental-data-management/ Engineering News-Record 2018 Top 200 Environmental Firms. Many EarthSoft clients on the list. Congratulations to all! Read: https://www.enr.com/toplists/2018-Top-200-Environmental-Firms-1 Credit: Engineering News-Record New Office Hour Video: Exploring EQuIS 7 - New Chart Features in EQuIS Professional 7 View: VIEW: https://community.earthsoft.com (Registration Required) --------------------------------------------------------------------------- EarthSoft released the newest version of EQuIS, Version 7! Read the Press Release here: https://earthsoft.com/2018/09/21/press-release-equis-7/ Join EarthSoft for a networking event immediately following the Dashboard Workshop, in Brisbane Australia October 15! Contact: [email protected] for more information. EQuIS Collect and EDGE Product Advisory Forum October 5! 12pm ET Register: https://attendee.gotowebinar.com/register/4000830732886519297?source=sm https://goo.gl/4d3CDd Office Hour - Explore EQuIS 7 Series - An Introduction to Enterprise Sample Planning Module (SPM) Dashboards September 27 11am ET Register: https://register.gotowebinar.com/register/7314666423481086979?source=SM https://goo.gl/8u58Rj EarthSoft is working with Business Partner ddms on a large Department of Energy project! Thanks, ddms! We will be at RemTech in Banff! Visit Booth 9 - staffed this year by EarthSoft CEO & Founder. October 10-12; Fairmont Banff Springs Hotel, Banff Arrange a meeting with [email protected] Multiple Brazilian and Sao Paulo Action Levels are available on the EarthSoft Community Center. Thanks to Cetrel! VIEW:https://community.earthsoft.com/(Registration Required) ----------------------------------------------------------------------- New Office Hour Video EDGE Custom Sample ID Schema VIEW: https://community.earthsoft.com (Registration Required) EarthSoft's Guilherme Amaro speaking at GIS workshop with Jacobs at EKOS Brasil November 1, in Sao Paulo. INFO: http://seminario.ekosbrasil.org/wpcontent/uploads/2018/07/Workshop_04_SIG.pdf EQuIS Collect Videos: EQuIS Collect Field Attributes View: http://www.screencast.com/t/u30NtN47yAyi EQuIS Collect How to Create a New Dashboard View: http://www.screencast.com/t/KcWsjf7r6FDn EQuIS Collect How to Update Map Extent in Collect View: http://www.screencast.com/t/8q6GvqeZ EQuIS Collect Create Your First Form View: http://www.screencast.com/t/Gur’s EQuIS Collect Build an EQEDD Water Level Form View: http://www.screencast.com/t/NA8KFA3gla EQuIS Collect Build EQuIS Collect Forms View: http://www.screencast.com/t/IR22iMI130 ------------------------------------------------------------------- For more information about upcoming Office Hour sessions click here: https://earthsoft.com/support/office-hours-schedule/ Join our mailing list and know about our upcoming webinars and events first! http://eepurl.com/dilT5L VISIT EarthSoft YouTube Channel for More Videos: https://www.youtube.com/user/earthsoft/videos SUBSCRIBE Get emails for future EarthSoft videos: http://www.youtube.com/subscription_center?add_user=ea
Views: 15 EarthSoft
Understanding The Data Life Cycle with DataBrew
 
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Data Scientist and DataBrew CEO Ben Brew explains how understanding the data life cycle can empower your company or organization to make better use of the data you have collected. To learn more about DataBrew and the data services they offer go to: www.databrew.cc Video was produced and animated by Bottcher Visuals. For video and photography services go to: www.bottchervisuals.com Music Licenses purchased through Premium Beat.
Views: 1546 Bottcher Visuals
Montagne dOr - Life Cycle of the Mining Project - April 15, 2016
 
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There is increasing global interest in using Abiotic Depletion Potential (ADP) as a sustainability indicator in regulatory and voluntary initiatives aiming to promote . The Montagne dOr deposit could potentially support an open pit mine with conventional carbon-in-leach (CIL) processing technology, and with a moderate strip . Johannes Drielsma, Deputy Director, Euromines. Website: Learn about the life cycle of resources, and the two types of scopes .
Views: 6 Dallas Steele
The price of gold: Chinese mining in Ghana documentary | Guardian Investigations
 
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Ghana has had a gold rush but here, Afua Hirsch discovers how Chinese immigrants are profiting from industrialising the country's small-scale mining industry. She sees for herself that, for the many locals who chance losing life and limb for a piece of the same pie, the risks are rarely worth it, and explores where the responsibility for regulating this industry lies. The price of gold: Chinese mining in Ghana documentary Subscribe to the Guardian HERE: http://bitly.com/UvkFpD Afua Hirsch reports on Ghana's gold rush in a film that discovers how Chinese immigrants are profiting from industrialising the country's small-scale mining industry. She sees for herself that, for the many locals who chance losing life and limb for a piece of the same pie, the risks are rarely worth it, and explores where the responsibility for regulating this industry lies.
Views: 2614097 The Guardian
Business/Data Analytics Process and Project Life  Cycle
 
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I am going to discuss the life cycle of business analytics project. In summary, the process of data analysis involves: 1. Understand the business problem 2. Collect the data 3. Clean the data 4. Define the data modeling technique 5. Analyse the results and measure the performance of the model 6. Deploy the model 7. Calibrate the model as you start using it. More details refer to my book: Business Analytics Using R - A Practical Approach https://www.amazon.com/Business-Analytics-Using-Practical-Approach/dp/1484225139
2017, Industry Partnership, SRK Consulting, Amer. Mining Hall of Fame
 
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The Mining Foundation of the Southwest was pleased to recognize SRK Consulting with the 2017 Industry Partnership Award during the 35th annual American Mining Hall of Fame Awards Ceremony in Tucson on 2 December 2017. SRK Consulting is an independent, international practice providing focused advice and solutions to the earth and water resource industries. We offer specialist services to mining and exploration companies for the entire life cycle of a mining project from exploration through to mine closure. Formed in 1974, SRK employs more than 1,400 professionals globally in over 45 permanent offices on 6 continents. Our specialists are leaders in fields such as exploration, due diligence and feasibility studies, mine waste and water management, permitting, and mine closure. The industry background of many of SRK’s staff ensures that advice is not only technically sound but thoroughly practical. Among SRK’s clients are many of the world’s major, medium-sized and junior metal and industrial mineral mining houses, exploration companies, financial institutions, construction firms and government departments. SRK has extensive experience in Arizona and Mexico (exploration, operations, permitting through mine closure) and our clients benefit from the Spanish-speaking abilities of many of our consultants. Why choose SRK? Expertise: SRK employs specialists with local and international experience. Versatility: We provide a seamless approach for problem solving and idea generation by providing a team of in-house experts covering each specialist area. Reputation: Reports and recommendations carry considerable weight with clients, permitting agencies, stock markets, joint venture partners, and banks. Focus: Studies focus on the areas of greatest risk, rather than indiscriminately addressing all issues in equal detail. Philosophy: Clients: For us to succeed, our clients must succeed Staff: Our performance depends on attracting and developing high quality staff Technology: Innovative technologies and approaches benefit our clients and our business Co-operation: Collaboration between international offices is encouraged Staff objectives: Creating an environment conducive to innovating thinking and solutions Enabling ambitious individuals to develop their careers in any direction Recognizing and rewarding excellence and achievement Maintaining employee ownership
Views: 70 MiningFoundationSW
Mining and Development in the Andes: Ensuring local development at the end of a project's life-cycle
 
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04-03-13 Institute for the Study of the Americas http://www.sas.ac.uk/ http://events.sas.ac.uk/isa/events/view/13220/FULLY+BOOKED%3A+Alternative+Strategies+for+Mining-based+Economies%3A+Mining+and+Development+in+the+Andean+Region Mining and Development in the Andes: Alternative strategies for mining-based economies Ensuring local development at the end of a project's life-cycle Caroline Digby, Post-Mining Alliance Mining activity has the potential to bring significant developmental benefits to countries in the Andes. However, as resources are exhausted, governments are turning to exploration in less desirable areas and proposing projects which may cause serious environmental damage. This has increasingly resulted in conflict with local communities and raises questions about how to manage and regulate the extractive industries. There are also broader debates about the risks and dangers associated with depending on a handful of commodities to sustain national economies, particularly when these are non-renewable. Even while governments pursue "extractivist" policies, innovative alternative development proposals are emerging from civil society and from governments themselves. Both the Bolivian and Ecuadorian governments have included the language and principles of vivir bien in development plans and laws. Others prioritise in-country processing of raw materials or a move away from export-based, growth-centred strategies. Another approach is simply to better regulate large-scale mining investment so as to maximise its spread effects and contribution to local development.
Views: 46 SchAdvStudy
Life cycle of mine
 
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Views: 37 Aditya Deegwal
Risk Adjusted Life Cycle cost of mine water treatment
 
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Presented by David Kratochvil, President & CEO BQE Water Mine lives are getting longer and water plays an important part of the project life cycle cost. Net Present Value (NPV) is a standard metric for the financial evaluation of long-term projects but it does not include any potential uncertainties or risks in an explicit way. Often, discount rates are increased or special discount factors are introduced to “cover risks” which generates confusion and reduces the credibility and/or confidence in the outcome of the evaluation. This webinar discusses the pitfalls of traditional NPV and risk assessments, and presents examples of overcoming these issues with a Risk Adjusted Life Cycle Cost (RALCC) analysis approach that can be adopted during all projects stages. Learn about the speaker: David Kratochvil is a chemical engineer with more than 20 years of experience in the treatment of mine wastewater and metallurgical bleed streams. He is the President & CEO of BQE Water, a Vancouver based company focused on reducing life cycle costs and risks associated with water and improving the performance of metal extraction projects.
Providing Support for the Complete Equipment Lifecycle
 
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When Byrnecut Group brought a fleet of Cat® underground trucks and loaders into its operations at DeGrussa Copper-Gold mine in Western Australia, those machines came with the full support of Cat dealer Westrac. From training operators to managing warranties to providing on-site support, Westrac has been instrumental in the success of these machines and the mining operation overall.
The Lifecycle of Data Science - Data Science Wednesday
 
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Data Science Wednesday is produced by Decisive Data, a data analytics consultancy. Lean more about us using the following links. Also, the video transcription is included below. http://www.decisivedata.net https://twitter.com/DecisiveData https://www.linkedin.com/company/decisive-data/ Video Transcription: Hello, and welcome to "Data Science Wednesday." My name is Tessa Jones, and I'm a data scientist with Decisive Data. And today, we're gonna talk about the data science life cycle, which is really important to understand, because if you're gonna engage in a data science project, it's really nice to understand how your data scientist thinks. Because it will really make the process a lot better and just generally more successful. So we have roughly six different phases in the cycle that we're gonna talk about today. The first one is exploring the business. It's really important to make this a cooperative space where the business person and the data scientist are really working together to understand what are the main objectives of the business, what are the desired things to happen with the business, what are the pain points of the business, all these different things. Through all of that you will define a really good question to answer, which is really important, because if you don't have a good question, you're probably not gonna have a very good project. So once you have a pretty good question defined, you wanna go into data discovery. Do you have the data that you need to even answer that question? Is there data missing? This is pretty important to really be concise about in the beginning, because sometimes you can kind of skip over this phase and then you can be far into a project, and you realize you don't have all the data that you need to answer the question, and then you're kind of in trouble. So once you know you have the data you need and you have a really good question, then you go into data prep. And depending on how sophisticated your business is, this could be a really big step or it could be a really small step. In the most ideal situation, you're usually just taking a couple of different tables and joining them together and organizing them in the way that the data scientist would like. So then we get into the data science process part of things. First, we do the exploratory analysis phase, and if you've watched any of our past videos, you would see the episode we did on diagnostic analytics. That's really reminiscent of what's going on in here. We're really trying to figure out how our different variables are related to one another, what their distributions look like, what correlates to what, really just trying to get a really good view of what's going on with our data. After we understand that, we go into model design, which is where we really put our thinking hats on, and we wanna understand or define the mathematical approach that will most likely give us the results that we want. We really have to consider everything that we've seen in here in order to do a good design. Once we have it designed, we go ahead and build the model. Usually, we program this in a language like R or Python, something like that, and once we have that all built out, then we deploy it into the business process so it can be used by the business person. All of this fits really nicely with the scientific method, because it allows us to iterate through. The scientific method is all about hypothesis testing, so if you have a question and you think that this particular variable is going to give you the answer that you need, you go through this cycle to test it. You say, "Well, I think it's gonna work." And then you build it in the model, and then you see whether it did or did not work, or if it gave you the results that you were trying to get. So let's take Tammy, for example. Tammy's working with a data scientist, and she's an executive at a retail store chain.
Views: 1030 Decisive Data
Introduction to Datawarehouse in hindi | Data warehouse and data mining Lectures
 
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#datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 268860 Last moment tuitions
Analyzing the Software Development Life-Cycle using Data-Mining Techniques
 
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by Andreas Platschek At: FOSDEM 2017 One of the major challenges for certification in the SIL2LinuxMP project, isto show that Linux does not only define a development process, but alsofollows it. To this end (and far beyond!) the meta-data of commits to theLinux kernel are analyzed. The talk covers everything from gathering the data, to distributing it toevery one in the project while keeping it the data up-to-date and of courseour first analysis results. Each of these phases contain their own set ofproblems that needed to be considered, leading to a framework called DLCDM(Development Life-Cylce Data-Mining) that is introduced for the first timeduring this talk. One of the major challenges for certification in the SIL2LinuxMP project, isto show that Linux does not only define a development process, but alsofollows it. To this end (and far beyond!) the meta-data of commits to theLinux kernel are analyzed. There are several intended outputs we hope to getout of this analysis, some examples are: - Competence of persons involved (IEC 61508-1, 6.2.13/6.2.14) - Dependencies amongst developers (Independence of persons doing code reviews) - Identify patches that did not get enough review (based on patch complexity, experience of author, reviews, etc.) - Automatic notification of patches in our configuration - Bug analysis (based on Fixes: tag) - Subsystem dependencies and conflicts The talk covers everything from gathering the data, to distributing it toevery one in the project while keeping it the data up-to-date and of courseour first analysis results. Each of these phases contain their own set ofproblems that needed to be considered, leading to a framework called DLCDM(Development Life-Cylce Data-Mining) that is introduced for the first timeduring this talk. Room: UD2.120 (Chavanne) Scheduled start: 2017-02-04 12:00:00
Views: 204 FOSDEM
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 63900 edureka!
EarthSoft Currents Week 41 2018 Video Newsletter
 
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New Industry Insights: Automated Environmental Reporting Read: https://earthsoft.com/2018/10/04/automated-environmental-reporting/ If you are attending the International Mining and Resources Conference in Melbourne, AU, contact [email protected] to meet with Warren Cook! Conference Info: https://imarcmelbourne.com/ Office Hour Enterprise 7 Widget World Tour: Manage Files and Photos with EQuIS Widgets October 11, 11am ET Register: https://goo.gl/1Wdzjy New New York State Reference Values for 2018-09-20 are available: Download; https://earthsoft.com/products/edp/edp-format-for-nysdec/ New Office Hour Video: Exploring EQuIS 7: Introduction to Enterprise Sample Planni9ng Module (SPM) Dashboard --------------------------------------------------------------------- "It’s time to modernize your big data management techniques" READ: https://www2.deloitte.com/insights/us/en/topics/analytics/data-management-techniques-approaches-tools.html Canadian Nuclear Laboratories is hiring an EQuIS & GIS Power User! See Ad Here: https://gogeomatics.ca/job/environmental-geomatics-technologist/ TRC renews annual EQuIS SMA for Pro, Enterprise, SPM, DQM, EDGE, Alive, and EnviroInsite! Thanks! Thanks, Golder! Hosted a successful EQuIS User Group in Vancouver, BC! Ask us about the complicated BC ALs and RVs. Screening Level Tables for the Delaware DNREC,Division of Waste and Hazardous Substances are on EarthSoft Community Center VIEW: https://community.earthsoft.com/(Registration Required) New Staff! Carlson Cabral, Senior Technologist Carlson has 15 years' experience in Canada and Brazil working with environmental data New Office Hour Video: Exploring EQuIS 7 - EQuIS Live 7 - Sensor Data Correction, Computation, and Integration VIEW: https://community.earthsoft.com/(Registration Required) ddms has a Sr. Data Analyst opening for someone with EQuIS skills: INFO:http://www.ddmsinc.com/about-us/careers/career-opportunities-openings/environmental-data-analyst/ Industry Insight: Mining Project Life Cycle for Environmental Data Management: https://earthsoft.com/2018/09/05/mining-project-life-cycle-for-environmental-data-management/ New Office Hour Video Exploring EQuIS 7 - New Chart Features in EQuIS Professional 7 VIEW: https://community.earthsoft.com (Registration Required) EarthSoft released the newest version of EQuIS, Version 7! Read the Press Release here: https://earthsoft.com/2018/09/21/press-release-equis-7/ Join EarthSoft for a networking event immediately following the Dashboard Workshop, in Brisbane Australia October 15! Contact: [email protected] for more information. We will be at RemTech in Banff! Visit Booth 9 - staffed this year by EarthSoft CEO & Founder. October 10-12; Fairmont Banff Springs Hotel, Banff Arrange a meeting with [email protected] Visit EarthSoft staff at Booth 12 and listen to Guilherme speak at the GIS workshop with Jacobs at EKOS Brasil November 1, in Sao Paulo. INFO: http://seminario.ekosbrasil.org/wpcontent/uploads/2018/07/Workshop_04_SIG.pdf ------------------------------------------------------------------- For more information about upcoming Office Hour sessions click here: https://earthsoft.com/support/office-hours-schedule/ Join our mailing list and know about our upcoming webinars and events first! http://eepurl.com/dilT5L VISIT EarthSoft YouTube Channel for More Videos: https://www.youtube.com/user/earthsoft/videos SUBSCRIBE Get emails for future EarthSoft videos: http://www.youtube.com/subscription_center?add_user=earthsoft -------------------------------------------------------------------
Views: 13 EarthSoft
Introduction to Big Data and the Data Lifecycle
 
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Dr. Mark Musen from Stanford University presents "Introduction to Big Data and the Data Life Cycle" Lecture Description Data are created, they persist for a period of time, and they may be lost or destroyed. With luck, they may be reused and re-explored to yield new insights and to spark new investigations. This talk will highlight major themes in the management and use of scientific data, and the ways in which investigators can ensure that their data will have maximum benefit to the scientific community. The talk also will provide background for future presentations in this series. View slides from this lecture: https://drive.google.com/open?id=0B4IAKVDZz_JUaVp5cG5rcUszTzg About Our Speaker Dr. Musen is Professor of Biomedical Informatics at Stanford University, where he is Director of the Stanford Center for Biomedical Informatics Research. Dr. Musen conducts research related to intelligent systems, reusable ontologies, metadata for publication of scientific data sets, and biomedical decision support. Please join our weekly meetings from your computer, tablet or smartphone. Visit our website to learn how to join! http://www.bigdatau.org/data-science-seminars
Data Science for Business: Data Mining Process and CRISP DM
 
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This lesson provides an introduction to the data mining process with a focus on CRISP-DM. This video was created by Cognitir (formerly Import Classes). Cognitir is a global company that provides live training courses to business & finance professionals globally to help them acquire in-demand tech skills. For additional free resources and information about training courses, please visit: www.cognitir.com
Views: 14025 Cognitir
GCSE Science Chemistry (9-1) Life-Cycle Assessment
 
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In this video, we look at the environmental impact of products and how we determine this using a life-cycle assessment. We then carry out simple life-cycle assessments for plastic and paper shopping bags. Deliberate Thought by Kevin MacLeod is licensed under a Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/?keywords=deliberate+thought Artist: http://incompetech.com/ Image credits: Lego truck By Brickset from UK - 76067 Tanker Truck Takedown, CC BY 2.0, https://commons.wikimedia.org/w/index.php?curid=50699603 iphones By Android Open Source project, CC BY 2.5, https://commons.wikimedia.org/w/index.php?curid=61152376 Audi By Ascaron - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=4437645 Drink can "https://commons.wikimedia.org/wiki/File%3ACiego_Montero_Gaseosa_can.jpg By MB-one (Own work) [CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0)], via Wikimedia Commons" Gold mine https://commons.wikimedia.org/wiki/File%3AKalgoorlie_Super_Pit_1.jpg A gulf oil rig By kris krüg - Flickr: A Gulf Oil Rig, CC BY-SA 2.0, https://commons.wikimedia.org/w/index.php?curid=26800004 Plastic pellets "https://commons.wikimedia.org/wiki/File%3APlastic_pellets.jpg By SuSanA Secretariat (http://www.flickr.com/photos/gtzecosan/4480914245/) [CC BY 2.0 (http://creativecommons.org/licenses/by/2.0)], via Wikimedia Commons" Mining vehicles "https://commons.wikimedia.org/wiki/File%3ABlaxtair_loader_mr90_950H.jpg By Vianneyjeans (Own work) [CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0)], via Wikimedia Commons" Cardboard box "https://commons.wikimedia.org/wiki/File%3ACardboard_Boxes_and_their_History.jpg By Creativity103 [CC BY 2.0 (http://creativecommons.org/licenses/by/2.0)], via Wikimedia Commons" Battery operated toy "https://commons.wikimedia.org/wiki/File%3AMasudaya_%E2%80%93_Battery_Operated_%E2%80%93_Tin_UFO_%E2%80%93_Galaxy_Flying_Saucer_X-7_(%E9%8A%80%E6%B2%B3%E5%86%86%E7%9B%A4_X-7)_%E2%80%93_Top.jpg By D J Shin (Own work) [CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0) or GFDL (http://www.gnu.org/copyleft/fdl.html)], via Wikimedia Commons" Scrap cars By haak78 - http://www.sxc.hu, CC BY 3.0, https://commons.wikimedia.org/w/index.php?curid=15076367 Plastic bag By Phrontis - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=15436176 Paper bag By Ludopedia - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=45365553 Oiled bird By Marine Photobank - originally posted to Flickr as Oiled Bird - Black Sea Oil Spill 11/12/07, CC BY 2.0, https://commons.wikimedia.org/w/index.php?curid=8979514 Tree By Sander van der Wel from Netherlands - [417/365] Tree, CC BY-SA 2.0, https://commons.wikimedia.org/w/index.php?curid=34928509 Paper mill "https://commons.wikimedia.org/wiki/File%3AHearst_Ontario_2.JPG By P199 (Own work) [GFDL (http://www.gnu.org/copyleft/fdl.html), CC-BY-SA-3.0 (http://creativecommons.org/licenses/by-sa/3.0/) or CC BY 2.5 (http://creativecommons.org/licenses/by/2.5)], via Wikimedia Commons" Refuse truck "https://commons.wikimedia.org/wiki/File%3AWalsall_refuse_truck_-_2002-08-20_-_Andy_Mabbett.jpg By Andy Mabbett (Own work) [CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0)], via Wikimedia Commons" Plastic bag litter "https://commons.wikimedia.org/wiki/File%3A2014._%D0%A3%D0%BD%D0%B8%D1%87%D1%82%D0%BE%D0%B6%D0%B5%D0%BD%D0%BD%D1%8B%D0%B5_%D0%B3%D1%80%D0%B8%D0%B2%D0%BD%D1%8B_%D0%B2_%D0%94%D0%BE%D0%BD%D0%B5%D1%86%D0%BA%D0%B5_015.jpg By Butko (Own work) [CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0)], via Wikimedia Commons"
Views: 41001 Freesciencelessons
How to MINE OPAL gems in the OUTBACK - Smarter Every Day 164
 
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Please click here to try The Great Courses Plus: http://ow.ly/OoWp302du3z Click here if you're interested in subscribing: http://bit.ly/Subscribe2SED Smarter Every Day on Patreon http://www.patreon.com/smartereveryday ⇊ Click below for more links! ⇊ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Thank you to Science Alert for arranging my travel! http://www.sciencealert.com/ GET SMARTER SECTION The majority of the world's opal gemstones used for jewelry comes from Coober Pedy Australia: https://en.wikipedia.org/wiki/Coober_Pedy Opals are unique: https://en.wikipedia.org/wiki/Opal Yanni's Store and Museum: http://www.umoonaopalmine.com.au/ Opal can be created by plants! http://www.sciencedirect.com/science/article/pii/S0367253015001437 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Tweet Ideas to me at: http://twitter.com/smartereveryday I'm "ilikerockets" on Snapchat. Snap Code: http://i.imgur.com/7DGfEpR.png Smarter Every Day on Facebook https://www.facebook.com/SmarterEveryDay Smarter Every Day on Patreon http://www.patreon.com/smartereveryday Smarter Every Day On Instagram http://www.instagram.com/smartereveryday Smarter Every Day SubReddit http://www.reddit.com/r/smartereveryday Ambiance and musicy things by: Gordon McGladdery did the outro music the video. http://ashellinthepit.bandcamp.com/ The thought is it my efforts making videos will help educate the world as a whole, and one day generate enough revenue to pay for my kids college education. Until then if you appreciate what you've learned in this video and the effort that went in to it, please SHARE THE VIDEO! If you REALLY liked it, feel free to pitch a few dollars Smarter Every Day by becoming a Patron. http://www.patreon.com/smartereveryday Warm Regards, Destin
Views: 2178542 SmarterEveryDay
Project Data Lifecycle – From Programming through Construction
 
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Brok Howard (HOK) delivers his presentation at the Spring BIMForum at the Hilton San Diego Bayfront Hotel on Wednesday, April 29, 2015.
Views: 299 BIMForum
3D Spatial Data Mining on Document Sets
 
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The retrospective fault analysis of complex technical devices based on documents emerging in the advanced steps of the product life cycle can reveal error sources and problems, which have not been discovered by simulations or other test methods in the early stages of the product life cycle. This video presents a novel approach to support the failure analysis through (i) a semi-automatic analysis of databases containing product-related documents in natural language (e.g. problem and error descriptions, repair and maintenance protocols, service bills) using information retrieval and text mining techniques and (ii) an interactive exploration of the data mining results. Our system supports visual data mining by mapping the results of analyzing failure-related documents onto corresponding 3D models. Thus, visualization of statistics about failure sources can reveal problem sources resulting from problematic spatial configurations. This video can be found in high quality at wwwisg.cs.uni-magdeburg.de/~timo/videos/3DSpDataMining.avi The associated scientific publication available at wwwisg.cs.uni-magdeburg.de/~timo/ was published at the 2nd International Conference on Computer Graphics Theory and Applications (GRAPP'07)
Views: 8066 Graphenreiter
EarthSoft Currents Week 42 2018 Video Newsletter
 
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Welcome to our newest state government client:North Carolina Department of Environmental Quality! @NCDEQ  Windward Environmental has an open Environmental Chemistry Database Manager position. Details: http://www.windwardenv.com/career-opportunities/ New Staff! Welcome Hillary Rogers as a Software Technologist. Hillary has a BS in Management Information Systems from Utah State University.  Eric Chance as a Software Technologist Eric has a MS in Forestry from Virginia Tech and has worked as a Water Quality Specialist for several years.  New York SDEC New EQuIS EDD Reference Values: Download: http://earthsoft.com/products/edp/edp-format-for-nysdec/ New Video: EQuIS Enterprise 7 Widget World Tour - Enhance Dashboards with the HTML Widget. Info: http://www.screencast.com/t/2iWswYMHF Office Hour EQuIS Enterprise 7 Widget World Tour - The Administrator’s Widget Toolbox – Intermediate Skill Level Register: https://goo.gl/qTyFk4 New Industry Insights: Automated Environmental Reporting Read: https://earthsoft.com/2018/10/04/automated-environmental-reporting/ If you are attending the International Mining and Resources Conference in Melbourne, AU, contact [email protected] to meet with Warren Cook! Conference Info: https://imarcmelbourne.com/ New New York State Reference Values for 2018-09-20 are available: Download; https://earthsoft.com/products/edp/edp-format-for-nysdec/ New Office Hour Video: Exploring EQuIS 7: Introduction to Enterprise Sample Planning Module (SPM) Dashboard VIEW: https://community.earthsoft.com/(Registration Required) "It’s time to modernize your big data management techniques" READ: https://www2.deloitte.com/insights/us/en/topics/analytics/data-management-techniques-approaches-tools.html Canadian Nuclear Laboratories is hiring an EQuIS & GIS Power User! See Ad Here: https://gogeomatics.ca/job/environmental-geomatics-technologist/ TRC renews annual EQuIS SMA for Pro, Enterprise, SPM, DQM, EDGE, Alive, and EnviroInsite! Thanks! Thanks, Golder! Hosted a successful EQuIS User Group in Vancouver, BC! Ask us about the complicated BC ALs and RVs. Screening Level Tables for the Delaware DNREC,Division of Waste and Hazardous Substances are on EarthSoft Community Center VIEW: https://community.earthsoft.com/(Registration Required) New Office Hour Video: Exploring EQuIS 7 - EQuIS Live 7 - Sensor Data Correction, Computation, and Integration VIEW: https://community.earthsoft.com/(Registration Required) Industry Insight: Mining Project Life Cycle for Environmental Data Management:  Read: https://earthsoft.com/2018/09/05/mining-project-life-cycle-for-environmental-data-management/ Visit EarthSoft staff at Booth 12 and listen to Guilherme speak at the GIS workshop with Jacobs at EKOS Brasil November 1, in Sao Paulo. INFO: http://seminario.ekosbrasil.org/wpcontent/uploads/2018/07/Workshop_04_SIG.pdf ------------------------------------------------------------------- For more information about upcoming Office Hour sessions click here: https://earthsoft.com/support/office-hours-schedule/ Join our mailing list and know about our upcoming webinars and events first! http://eepurl.com/dilT5L VISIT EarthSoft YouTube Channel for More Videos: https://www.youtube.com/user/earthsoft/videos SUBSCRIBE Get emails for future EarthSoft videos: http://www.youtube.com/subscription_center?add_user=earthsoft -------------------------------------------------------------------
Views: 28 EarthSoft
Sentiment Analysis in R | Sentiment Analysis of Twitter Data | Data Science Training | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This Sentiment Analysis Tutorial shall give you a clear understanding as to how a Sentiment Analysis machine learning algorithm works in R. Towards the end, we will be streaming data from Twitter and will do a comparison between two football teams - Barcelona and Real Madrid (El Clasico Sentiment Analysis) Below are the topics covered in this tutorial: 1) What is Machine Learning? 2) Why Sentiment Analysis? 3) What is Sentiment Analysis? 4) How Sentiment Analysis works? 5) Sentiment Analysis - El Clasico Demo 6) Sentiment Analysis - Use Cases Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #SentimentAnalysis #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
Views: 29460 edureka!
Data LifeCycle Management
 
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To experience more such innovative management concepts, join WeSchool PGDM-DLP Program: http://bit.ly/16o0OSy With computers and world wide web conquering every aspect of work, this lecture gives you an illustrative idea about world of computers and technology, This Lecture states that data resides in the form of document, images and other information whereas data cycle is an enterprise asset. Join us on Facebook: http://www.facebook.com/welearnindia Follow us on Twitter: https://twitter.com/WeLearnIndia Read our latest blog at: http://welearnindia.wordpress.com Subscribe to our Slideshare Channel: http://www.slideshare.net/welingkarDLP
High plant availability at PNC with Metso's Life Cycle Services
 
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"A decade of valuable relationship and long-term growth plans with Metso, embarks the growth trajectory of PNC,” shares Mr. Chakresh Jain, Managing Director, PNC Infratech Limited. Focusing on its core business of road construction and opting for Metso’s Life Cycle Services (LCS) packages for the supply of aggregates has resulted in PNC winning multiple early completion bonuses. #CustomerSuccess
Views: 52777 MetsoWorld
Final Demo - 1 (CLC - Coin Life Cycle -1)
 
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SCPP project - Coin Life Cycle Management Demo 1) Mining New Coin 2) P2P Traction ( Ack ok , Ack Fail Cases)
Views: 47 Umayanga Madhushan
Data Mining & Business Intelligence | Tutorial #31 | BI System Development
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #BusinessIntelligence #BISystem Follow me on Instagram 👉 https://www.instagram.com/reng_army/ Visit my Profile 👉 https://www.linkedin.com/in/reng99/ Support my work on Patreon 👉 https://www.patreon.com/ranjiraj This video is based on the life-cycle stages of how a BI system is developed for assimilating into the project. Watch Now! يستند هذا الفيديو إلى مراحل دورة حياة كيفية تطوير نظام استقصاء المعلومات لاستيعابه في المشروع. شاهد الآن ! Cette vidéo est basée sur les étapes du cycle de vie de développement d'un système de BI pour l'assimilation au projet. Regarde maintenant ! Это видео основано на этапах жизненного цикла разработки BI-системы для ассимиляции в проекте. Смотри ! Dieses Video basiert auf den Lebenszyklusphasen, in denen ein BI-System für die Integration in das Projekt entwickelt wird. Schau jetzt ! Este video se basa en las etapas del ciclo de vida de cómo se desarrolla un sistema de BI para asimilar en el proyecto. Ver ahora ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ Add me on Facebook 👉https://www.facebook.com/renji.nair.09 Follow me on Twitter👉https://twitter.com/iamRanjiRaj Read my Story👉https://www.linkedin.com/pulse/engineering-my-quadrennial-trek-ranji-raj-nair Visit my Profile👉https://www.linkedin.com/in/reng99/ Like TheStudyBeast on Facebook👉https://www.facebook.com/thestudybeast/ ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ For more such videos LIKE SHARE SUBSCRIBE Iphone 6s : http://amzn.to/2eyU8zi Gorilla Pod : http://amzn.to/2gAdVPq White Board : http://amzn.to/2euGJ7F Duster : http://amzn.to/2ev0qvX Feltip Markers : http://amzn.to/2eutbZC
Views: 439 Ranji Raj
World's Deepest Mine - Gold Alchemy
 
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South Africa's TauTona mine, real life alchemy, and Halicephalobus Mephisto. Footage from the 2012 documentary, "Down to the Earth's Core". We have travelled into space and looked deep into the universe's depths, but the world beneath our feet remains unexplored and unseen. Now, that's about to change. For the first time in one epic unbroken shot, we embark on an impossible mission - using spectacular computer generated imagery to smash through three thousand miles of solid rock, and venture from our world into the underworld and on to the core of the Earth itself. It's a journey fraught with danger. One thousand feet down we find ourselves inside one of the planet's most volatile places - the San Andreas Fault. Caught between two huge rock slabs, we watch as stress builds and then releases. It unleashes an earthquake and blasts us on towards rivers of molten rock, explosive volcanoes, tears in the Earth's crust and giant tornadoes of liquid metal. But for every danger, there are wonders beyond imagination. Four hundred feet below the surface, a three hundred million year old fossilized forest, with every leaf and every piece of bark perfectly preserved. At one thousand feet down we enter a cave of giant crystals, glistening in deadly 122 degree heat. More than two miles underground we find buried treasure - gold and gems. Deeper still there are valuable resources - salt, oil, coal and iron. And over one hundred miles down we see the sparkling beauty of diamonds. As we descend we piece together our planet's extraordinary story. We rewind time to discover how prehistoric forests became modern-day fuel. 1700 feet down a layer of rock reveals the extraordinary story of the dinosaurs' cataclysmic death. We watch stalactites form and gold grow before our eyes. The deeper we travel into the underworld the more we understand our world above the surface. A bigger picture takes shape - a cycle of destruction and creation, driven by the core that sustains our dynamic planet and makes the Earth the only planet with life in a seemingly lifeless universe. Until, finally, three thousand miles down, we reach the core. Inside it lie the secrets of life as we know it - the magnetic force field that protects life on Earth from the sun's deadly rays, the ancient heat source that keeps our planet alive. Down to the Earth's Core brings the latest science together with breathtaking computer generated imagery. The result is an unmissable journey into an extraordinary world - full of dangers, wonders and secrets. And it's all down there, beneath our feet, right now waiting to be discovered.
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¡VAMOS! Project
 
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¡VAMOS! (Viable Alternative Mine Operating System) is an Horizon 2020 project developing a safe, sustainable, underwater robotics system for inland submerged mining.