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▶ 5 Most Used Data Mining Software || Data Mining Tools -- Famous Data Mining Tools
 
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»See Full #Data_Mining Video Series Here: https://www.youtube.com/watch?v=t8lSMGW5eT0&list=PL9qn9k4eqGKRRn1uBmEhlmEd58ATOziA1 In This Video You are gonna learn Data Mining #Bangla_Tutorial Data mining is an important process to discover knowledge about your customer behavior towards your business offerings. » My #Linkedin_Profile: https://www.linkedin.com/in/rafayet13 » Read My Full Article on Data Mining Career Opportunity & So On » Link: https://medium.com/@rafayet13 #Learn_Data_Mining_In_A_Easy_Way #Data_Mining_Essential_Course #Data_Mining_Course_For_Beginner Here We're Going to Learn Which Software is best to use in Data Mining Field R remains the leading tool, with 49% share, but Python grows faster and almost catches up to R. RapidMiner remains the most popular general Data Science. আধুনিক প্রযুক্তির ব্যবহার বৃদ্ধির সাথে অতি দ্রুত ডেটা উৎপন্ন হচ্ছে। টেক জায়ান্ট আইবিএম জানায় ইন্টারনেটে যত ডেটা আছে তার ৯০ ভাগ উৎপন্ন হয়েছে গত তিন বছরে। এ ডেটা উৎপন্নের হার দিনকে দিন বেড়েই চলছে। বিশেষজ্ঞদের ধারনা ২০২০ সাল নাগাদ প্রায় ৪০ জেটাবাইট ডেটা জেনারেট হবে। যা ২০১১ তুলনায় প্রায় ৫০ গুন বেশি। বিশাল পরিমাণ এই ডেটা প্রক্রিয়াজাতের মাধ্যমে বিজ্ঞান, গবেষণা, চিকিৎসা, শিক্ষা ও ব্যবসায় ব্যপক ভুমিকা রাখা যেতে পারে। তাই বলা হচ্ছে “ বিগ ডেটা ইজ বিগ ইমপ্যাক্ট।” Data Mining,big data,data analysis,data mining tutorial,book , Bangla tutorials,data mining software,Data Mining,What is data mining, bookbd, data analysis,data mining tutorial,data science,big data,business tutorial,data mining Bangla tutorial,how to,how to mine data,knowledge discovery,Artificial Intelligence,Deep learning,machine learning,Python tutorials,
Views: 5758 BookBd
Data Mining & Business Intelligence | Tutorial #17 | Data Reduction - Dimensionality Reduction
 
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Order my books at 👉 http://www.tek97.com/ #DataReduction #DimensionalityReduction 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 explains what is Dimensionality Reduction in Data Mining as a Data Reduction step. Watch Now! يشرح هذا الفيديو ما هو Dimensionality Reduction في Data Mining كخطوة لخفض البيانات. شاهد الآن ! Este video explica qué es la reducción de la dimensionalidad en la minería de datos como un paso de reducción de datos. Ver ahora ! В этом видео объясняется, что такое уменьшение размера в интеллектуальном анализе данных как шаг сокращения данных. Смотри ! Cette vidéo explique ce qu'est la réduction de la dimension dans l'exploration de données en tant qu'étape de réduction des données. Regarde maintenant ! In diesem Video wird erklärt, was Dimensionality Reduction in Data Mining als Datenreduktionsschritt bedeutet. Schau jetzt ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 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: 1711 Ranji Raj
Data Mining & Business Intelligence | Tutorial #2 | Architecture Of Data Mining System
 
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Order my books at 👉 http://www.tek97.com/ Get familiar with the architecture possessed by Data Mining System.#RanjiRaj #DataMining #Architecture 1. Knowledge Base 2. Data Mining Engine 3. Pattern Evaluation Module 4. User Interface Machen Sie sich mit der Architektur von Data Mining System vertraut. 1. Wissensdatenbank 2. Data Mining-Engine 3. Musterbewertungsmodul 4. Benutzeroberfläche تعرف على الهندسة المعمارية التي يمتلكها نظام استخراج البيانات. 1. قاعدة المعرفة 2. محرك تعدين البيانات 3. وحدة نمط التقييم 4. واجهة المستخدم Familiarícese con la arquitectura que posee Data Mining System. 1. Base de conocimiento 2. Motor de minería de datos 3. Módulo de evaluación de patrones 4. Interfaz de usuario ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 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: 2981 Ranji Raj
The Google Books Settlement: Data Mining and Non-Consumptive Use
 
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Session 1 of "The Google Books Settlement and the Future of Information Access". Moderator: Eric Kansa; Panelists: Peter Brantley, Director of Access, Internet Archive; Jim Pitman, Professor of Statistics, UC Berkeley. More information: http://www.ischool.berkeley.edu/newsandevents/events/20090828googlebooksconference
Views: 1011 UC Berkeley Events
Data Science and Machine Learning Book Bundle (& Python, R)
 
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If you're interested in Data Science, Machine Learning, Programming, or any combination of those three, check out the latest humble bundle: https://www.humblebundle.com/books/data-science-books?partner=tutorialinux I have a few recommendations from this bundle which I'll touch on, but there's a ton of amazing stuff to be had here. Enjoy!
Views: 5692 tutoriaLinux
Data Mining & Business Intelligence | Tutorial #12 | Data Integration Process
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #DataIntegration 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 Lets see what is Data Integration and its issues in various spheres of Data Mining. Watch now ! لنرى ما هو التكامل البيانات وقضاياها في مختلف مجالات البيانات التنقيب. شاهد الآن ! Давайте посмотрим, что такое Интеграция данных и ее проблемы в различных областях интеллектуального анализа данных. Смотри ! Voyons ce qu'est l'intégration de données et ses problèmes dans diverses sphères de l'exploration de données. Regarde maintenant ! Sehen wir uns an, was Data Integration und ihre Probleme in verschiedenen Bereichen des Data Mining sind. Schau jetzt ! Veamos qué es la integración de datos y sus problemas en varias esferas de la minería de datos. 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: 2464 Ranji Raj
Classification of Data Mining Problems v1
 
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I will explain 9 common data mining problem types. The information in this presentation is mostly based on the great book called "Data Science for Business" written by Provost and Fawcett. http://datascience.mertnuhoglu.com Please give positive or negative feedback on the presentation. Does it help? What do you suggest to make it better?
Views: 8985 Mert Nuhoglu
Data Mining & Business Intelligence | Tutorial #4 | Forms Of Data Preprocessing
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #DataPreprocessing Its important to preprocess the data before processing. Have a look at different forms of data preprocessing in data mining. Watch now ! Il est important de prétraiter les données avant le traitement. Jetez un oeil à différentes formes de prétraitement des données dans l'exploration de données. Regarde maintenant ! Es ist wichtig, die Daten vor der Verarbeitung vorzuverarbeiten. Sehen Sie sich verschiedene Formen der Datenvorverarbeitung im Data Mining an. Schau jetzt ! Es importante preprocesar los datos antes del procesamiento. Eche un vistazo a las diferentes formas de preprocesamiento de datos en la minería de datos. Ver ahora ! من المهم أن preprocess البيانات قبل المعالجة. إلقاء نظرة على أشكال مختلفة من معالجة البيانات في تعدين البيانات. شاهد الآن ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 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: 3624 Ranji Raj
Data Mining & Business Intelligence | Tutorial #27 | Decision Trees (Solved Problem)
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #DecisionTrees 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 shows you how to solve a decision tree problem in data mining. Watch Now! يوضح لك هذا الفيديو كيفية حل مشكلة شجرة القرارات في استخراج البيانات. شاهد الآن ! Este vídeo mostra como resolver um problema da árvore de decisão na mineração de dados. Assista agora ! Это видео показывает, как решить проблему дерева решений в интеллектуальном анализе данных. Смотри ! Cette vidéo vous montre comment résoudre un problème d'arbre de décision dans l'exploration de données. Regarde maintenant ! Dieses Video zeigt Ihnen, wie Sie ein Entscheidungsbaumproblem im Data Mining lösen können. Schau jetzt ! Este video muestra cómo resolver un problema de árbol de decisión en la extracción de datos. 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: 612 Ranji Raj
Best books on Data Mining
 
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Best books on Data Mining
Views: 295 Books Magazines
DATA SCIENCE FREE BOOKS ONLINE | DOWNLOAD YOUR COPY
 
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Here's a list of 10 must read book on Data Science & Machine Learning. Foundations of DATA SCIENCE Book www.cs.cornell.edu/jeh/book.pdf Understanding Machine Learning Book www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf The Elements of Statistical Learning Book web.stanford.edu/~hastie/Papers/ESLII.pdf An Introduction to Statistical Learning Book www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20Printing.pdf Mining of Massive Data Sets Book infolab.stanford.edu/~ullman/mmds/book.pdf
Views: 1621 DATA SCIENCE
Data Mining & Business Intelligence | Tutorial #7 | Measuring Data Dispersion
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #DataDispersion This video will address the various mathematical measures to estimate the dispersion of data in a data mining system. Watch it now ! In diesem Video werden die verschiedenen mathematischen Maßnahmen zur Schätzung der Streuung von Daten in einem Data Mining-System behandelt. Jetzt ansehen ! Cette vidéo traitera des diverses mesures mathématiques permettant d'estimer la dispersion des données dans un système d'exploration de données. Regardez-le maintenant ! سيعالج هذا الفيديو الإجراءات الرياضية المختلفة لتقدير تشتت البيانات في نظام تعدين البيانات. مشاهدته الآن ! Este video abordará las diversas medidas matemáticas para estimar la dispersión de datos en un sistema de minería de datos. ¡Míralo ahora! В этом видео будут рассмотрены различные математические меры для оценки дисперсии данных в системе интеллектуального анализа данных. Смотри сейчас! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 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: 1037 Ranji Raj
Data Mining & Business Intelligence | Tutorial #8 | Data Summarization Techniques
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #DataSummarization This video addresses the data summarization techniques in data mining which are most frequently used! Watch now ! يتناول هذا الفيديو تقنيات تلخيص البيانات في مجال استخراج البيانات الأكثر استخدامًا! شاهد الآن ! Este video aborda las técnicas de resumen de datos en la minería de datos que se utilizan con mayor frecuencia. Ver ahora ! В этом видео чаще всего используются методы обобщения данных в области интеллектуального анализа данных! Смотри ! In diesem Video werden die am häufigsten verwendeten Datenzusammenfassungstechniken im Data Mining behandelt! Schau jetzt ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 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: 1246 Ranji Raj
Data Mining Lecture - - Finding frequent item sets | Apriori Algorithm | Solved Example (Eng-Hindi)
 
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In this video Apriori algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining in hindi, Finding frequent item sets, data mining, data mining algorithms in hindi, data mining lecture, data mining tools, data mining tutorial,
Views: 191761 Well Academy
Data Mining & Business Intelligence | Tutorial #10 | Data Cleaning Process
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #DataCleaning Handing Missing values and reducing the noisy data are the two techniques by which data cleaning initiates in data mining towards knowledge extraction. Watch now ! 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 إن تسليم القيم المفقودة وتقليل البيانات المزعجة هما الأسلوبان اللذان يبدأ بهما تنظيف البيانات في استخراج البيانات نحو استخراج المعرفة. شاهد الآن ! La gestion des valeurs manquantes et la réduction des données bruitées sont les deux techniques par lesquelles le nettoyage des données débute dans l'extraction de données vers l'extraction des connaissances. Regarde maintenant ! La entrega de valores perdidos y la reducción de datos ruidosos son las dos técnicas mediante las cuales se inicia la limpieza de datos en la extracción de datos hacia la extracción de conocimiento. Ver ahora ! Übergeben Fehlende Werte und das Reduzieren der verrauschten Daten sind die beiden Techniken, mit denen die Datenbereinigung beim Data Mining zur Wissensextraktion initiiert wird. Schau jetzt ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 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: 2844 Ranji Raj
MATHS & STATISTICS | Data mining tutorial from John Elder (1)
 
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Top tips for data mining success! Watch John Elder present this short tutorial on how to get ahead in data mining. This is extracted from training material produced by Elder Research, Inc. For more information about statistical analysis and data mining, check out the brand new reference book from Elsevier: The Handbook of Statistical Analysis and Data Mining Applications (www.elsevierdirect.com/datamining).
Views: 33107 Elsevier Books
Data Mining & Business Intelligence | Tutorial #11 | Smoothing by Binning (Solved Problem)
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #Binning Worried about how to smooth data by binning with means, medians and mode well this video will solve your queries. Watch now ! قلق حول كيفية بسلاسة البيانات عن طريق binning بالوسائل ، والوسائط والوضع بشكل جيد هذا الفيديو سوف يحل استفساراتك. شاهد الآن ! Besorgt darüber, wie Daten durch Binning mit Mitteln, Medianen und Modus geglättet werden können, wird dieses Video Ihre Fragen lösen. Schau jetzt ! Preocupado acerca de cómo suavizar los datos al agrupar los medios, las medianas y el modo, este video resolverá sus dudas. Ver ahora ! Inquiet sur la façon de lisser les données en binning avec les moyens, les médianes et le mode bien cette vidéo va résoudre vos questions. Regarde maintenant ! Беспокоитесь о том, как сгладить данные путем биннинга средствами, медианами и режимами, это видео решает ваши запросы. Смотри ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 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: 4956 Ranji Raj
Agglomerative clustering dendrogram example data mining
 
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BOOK NAME : techmax publications datawarehousing and mining by arti deshpande n pallavi halarnkar $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ ALL DATA MINING ALGORITHM VIDEOS ARE BELOW : https://www.youtube.com/watch?v=JZepOmvB514&list=PLNmFIlsXKJMmekmO4Gh6ZBZUVZp24ltEr $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ PDF OF THE SUM IS BELOW : http://britsol.blogspot.in/2017/11/agglomerative-clustering-dendrogram.html?m=1 $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ EXAMPLES ARE AT BELOW LINK http://britsol.blogspot.in/2017/08/apriori-algorithm-example.html $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ DECISION TREE BASIC EXAMPLE PDF AND VIDEO ARE BELOW : VIDEO : https://www.youtube.com/watch?v=ajG5Yq1myMg&list=PLNmFIlsXKJMmekmO4Gh6ZBZUVZp24ltEr&index=2 PDF : http://britsol.blogspot.in/2017/10/decision-tree-algorithm-pdf.html $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
Views: 3049 fun 2 code
RapidMiner - Data Mining Logistic Regression (Dataset Training and Scoring)
 
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Using a dataset of the book Data Mining for the Masses
Views: 864 Wahyu adi putra
What is DATA MINING? What does DATA MINING mean? DATA MINING meaning, definition & explanation
 
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What is DATA MINING? What does DATA MINING mean? DATA MINING meaning - DATA MINING definition - DATA MINING explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Data mining is an interdisciplinary subfield of computer science. It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. The term is a misnomer, because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (mining) of data itself. It also is a buzzword and is frequently applied to any form of large-scale data or information processing (collection, extraction, warehousing, analysis, and statistics) as well as any application of computer decision support system, including artificial intelligence, machine learning, and business intelligence. The book Data mining: Practical machine learning tools and techniques with Java (which covers mostly machine learning material) was originally to be named just Practical machine learning, and the term data mining was only added for marketing reasons. Often the more general terms (large scale) data analysis and analytics – or, when referring to actual methods, artificial intelligence and machine learning – are more appropriate. The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection), and dependencies (association rule mining). This usually involves using database techniques such as spatial indices. These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics. For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system. Neither the data collection, data preparation, nor result interpretation and reporting is part of the data mining step, but do belong to the overall KDD process as additional steps. The related terms data dredging, data fishing, and data snooping refer to the use of data mining methods to sample parts of a larger population data set that are (or may be) too small for reliable statistical inferences to be made about the validity of any patterns discovered. These methods can, however, be used in creating new hypotheses to test against the larger data populations.
Views: 6659 The Audiopedia
Statistical Aspects of Data Mining (Stats 202) Day 1
 
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Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 214832 GoogleTechTalks
Big Data, Data Mining and Machine Learning: Value Creation for Business Leaders and Practitioners
 
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SAS's Jared Dean talks to Inside Analytics host Maggie Miller about his new book Big Data, Data Mining and Machine Learning. For more information about the Analytics 2014 conference, visit http://www.sas.com/events/analytics/europe/
Views: 1038 SAS Software
Data Mining & Business Intelligence | Tutorial #28 | Naive Bayes Classification (Solved Problem)
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #NaiveBayes 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 Watch this video to understand how a problem in Naive Bayes is solved in data mining for classification on the given data set. Watch Now! شاهد هذا الفيديو لفهم كيفية حل مشكلة في Naive Bayes في التنقيب عن البيانات للتصنيف على مجموعة البيانات المحددة. شاهد الآن! Assista a este vídeo para entender como um problema em Naive Bayes é resolvido na mineração de dados para classificação no conjunto de dados fornecido. Assista agora! Regardez cette vidéo pour comprendre comment un problème dans Naive Bayes est résolu dans l'exploration de données pour la classification sur l'ensemble de données donné. Regarde maintenant! Sehen Sie sich dieses Video an, um zu verstehen, wie ein Problem in Naive Bayes im Data Mining zur Klassifizierung auf dem gegebenen Datensatz gelöst wird. Schau jetzt! Mire este video para comprender cómo se resuelve un problema en Naive Bayes en la extracción de datos para su clasificación en un conjunto de datos determinado. ¡Ver ahora! Посмотрите это видео, чтобы понять, как проблема в Naive Bayes решена в области интеллектуального анализа данных для классификации по данному набору данных. Смотри! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 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: 711 Ranji Raj
How data mining works
 
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Data mining concepts Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use.Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The term "data mining" is in fact a misnomer, because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (mining) of data itself. It also is a buzzword and is frequently applied to any form of large-scale data or information processing (collection, extraction, warehousing, analysis, and statistics) as well as any application of computer decision support system, including artificial intelligence (e.g., machine learning) and business intelligence. The book Data mining: Practical machine learning tools and techniques with Java[8] (which covers mostly machine learning material) was originally to be named just Practical machine learning, and the term data mining was only added for marketing reasons.[9] Often the more general terms (large scale) data analysis and analytics – or, when referring to actual methods, artificial intelligence and machine learning – are more appropriate. The actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection), and dependencies (association rule mining, sequential pattern mining). This usually involves using database techniques such as spatial indices. These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics. For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system. Neither the data collection, data preparation, nor result interpretation and reporting is part of the data mining step, but do belong to the overall KDD process as additional steps. The related terms data dredging, data fishing, and data snooping refer to the use of data mining methods to sample parts of a larger population data set that are (or may be) too small for reliable statistical inferences to be made about the validity of any patterns discovered. These methods can, however, be used in creating new hypotheses to test against the larger data populations.Data mining Data mining involves six common classes of tasks: Anomaly detection (outlier/change/deviation detection) – The identification of unusual data records, that might be interesting or data errors that require further investigation. Association rule learning (dependency modelling) – Searches for relationships between variables. For example, a supermarket might gather data on customer purchasing habits. Using association rule learning, the supermarket can determine which products are frequently bought together and use this information for marketing purposes. This is sometimes referred to as market basket analysis. Clustering – is the task of discovering groups and structures in the data that are in some way or another "similar", without using known structures in the data. Classification – is the task of generalizing known structure to apply to new data. For example, an e-mail program might attempt to classify an e-mail as "legitimate" or as "spam". Regression – attempts to find a function which models the data with the least error that is, for estimating the relationships among data or datasets. Summarization – providing a more compact representation of the data set, including visualization and report generation.
Views: 405 Technology mart
Kmeans Clustering Algorithm example Data Mining Centroid Based Technique part-2
 
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K means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells. For more visit below links : https://en.wikipedia.org/wiki/K-means_clustering https://www.datascience.com/blog/introduction-to-k-means-clustering-algorithm-learn-data-science-tutorials ############### BOOK NAME####################### book name: techmax publications datawarehousing and mining by arti deshpande n pallavi halarnkar
Views: 18199 fun 2 code
Meta Brown: Data Mining for Dummies #DataTalk
 
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In our weekly #DataTalk, we had a chance to talk with Meta Brown about her work in data science and her latest book: Data Mining for Dummies. You can learn more about her by going to her website: http://www.metabrown.com/ You can read a full transcription of this video by going to: http://ex.pn/metabrown You can learn about upcoming #DataTalk events and tweetchats: http://experian.com/datatalk
Views: 1510 Experian
INTRODUCTION TO DATA MINING IN HINDI
 
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Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 106517 LearnEveryone
Neil Heffernan and Ryan Baker: Educational Data Mining
 
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Neil Heffernan & Ryan Baker, Worcester Polytechnic Institute, at the Cyberlearning Research Summit on January 18, 2012, Talk Set 5: Digital Books in Social Spaces with Educational Data Mining. See http://cyberlearning.sri.com
Views: 1490 cyberlearningvideos
The Library as Dataset: Text Mining at Million-Book Scale
 
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What do you do with a library? The large-scale digital collections scanned by Google and the Internet Archive have opened new ways to interact with books. The scale of digitization, however, also presents a challenge. We must find methods that are powerful enough to model the complexity of culture, but simple enough to scale to millions of books. In this talk I'll discuss one method, statistical topic modeling. I'll begin with an overview of the method. I will then demonstrate how to use such a model to measure changes over time and distinctions between sub-corpora. Finally, I will describe hypothesis tests that help us to distinguish consistent patterns from random variations. David Mimno is a postdoctoral researcher in the Computer Science department at Princeton University. He received his PhD from the University of Massachusetts, Amherst. Before graduate school, he served as Head Programmer at the Perseus Project, a digital library for cultural heritage materials, at Tufts University. He is supported by a CRA Computing Innovation fellowship.
Views: 2336 YaleUniversity
Data Mining & Business Intelligence | Tutorial #19 | Data Discretization
 
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Order my books at 👉 http://www.tek97.com/ #DataDiscretization #DataMining 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 Learn what data discretisation in data reduction in the context of data mining is. Watch now! تعرف على ما هو تقديس البيانات في الحد من البيانات في سياق استخراج البيانات. شاهد الآن ! Aprenda qué es la discretización de datos en la reducción de datos en el contexto de la minería de datos. Ver ahora ! Узнайте, что такое дискретизация данных при сокращении данных в контексте интеллектуального анализа данных. Смотри ! Erfahren Sie, was Datendiskretisierung bei der Datenreduktion im Kontext von Data Mining ist. Schau jetzt ! Apprenez ce qu'est la discrétisation des données dans la réduction des données dans le contexte de l'exploration de données. Regarde maintenant ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 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: 2556 Ranji Raj
Best Machine Learning Books
 
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Best machine learning books - these are the best machine learning books in my opinion. If you fancy buying me a coffee, you can do it here :-) https://ko-fi.com/pythonprogrammer Amazon (affiliate links) Hello World - Being Human in the Age of Algorithms https://amzn.to/2qJUjds Machine Learning for absolute beginners https://amzn.to/2K4dur4 Introduction to Statistical Learning https://amzn.to/2PwBI3o (Free version https://www-bcf.usc.edu/~gareth/ISL/ ) A First Course in Machine Learning https://amzn.to/2DlRqae The Elements of Statistical Learning: Data Mining, Inference, and Prediction https://amzn.to/2DHexwG - (Free version http://www-stat.stanford.edu/~tibs/ElemStatLearn/ ) Artificial Intelligence: A Modern Approach https://amzn.to/2PYzbOB Machine Learning: A Probabilistic Perspective https://amzn.to/2DqtEtQ Pattern Recognition and Machine Learning https://amzn.to/2DGtT4P Information Theory, Inference and Learning Algorithms https://amzn.to/2RX7nrd (Free version http://www.inference.org.uk/itprnn/book.pdf ) Make your Own Neural Network https://amzn.to/2DGG5T1 The Master Algorithm https://amzn.to/2DGgfia
Views: 1724 Python Programmer

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