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Data Mining


Data Mining Books

Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Introduction to Data Mining
Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Mining: Introductory and Advanced Topics
Programming Collective Intelligence: Building Smart Web 2.0 Applications
Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart
Mining of Massive Datasets
Doing Data Science: Straight Talk from the Frontline
Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with Xlminer
Python for Data Analysis
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Data Mining with Microsoft SQL Server 2008
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Lists

AI Doctor by Ronald M. RazmiDeep Utopia by Nick BostromCo-Intelligence by Ethan MollickSuperintelligence by Nick BostromUnmasking AI by Joy Buolamwini
Best machine learning books
90 books — 80 voters
AI Doctor by Ronald M. RazmiPattern Recognition and Machine Learning by Christopher M. BishopUnmasking AI by Joy BuolamwiniThe Coming Wave by Mustafa SuleymanThe Elements of Statistical Learning by Trevor Hastie
Machine Learning
106 books — 112 voters

The Signal and the Noise by Nate SilverThe Elements of Statistical Learning by Trevor HastieMoneyball by Michael LewisThe Visual Display of Quantitative Information by Edward R. TufteAn Introduction to Statistical Learning by Gareth James
Data Science - Learning About Data
134 books — 121 voters

Quotes Tagged “Data Mining”

Douglas Rushkoff
“ Corporations [gained] direct access to what we may think of as our humanity, emotions, and agency but, in this context, are really just buttons. ”
― Douglas Rushkoff, Life Inc.: How the World Became a Corporation and How to Take it Back
4 likes

Eli Pariser
“ 1973 Fair Information Practices: - You should know who has your personal data, what data they have, and how it is used. - You should be able to prevent information collected about you for one purpose from being used for others. - You should be able to correct inaccurate information about you. - Your data should be secure. ..while it's illegal to use Brad Pitt's image to sell a watch without his permission, Facebook is free to use your name to sell one to your friends. ...more ”
― Eli Pariser, The Filter Bubble: What the Internet is Hiding From You
4 likes

More quotes...

Groups Tagged "Data Mining"

Includes data mining, data visualization, machine learning and many other question related to
9 members, last active 14 years ago
Datacool Readers Group Grupo de lectores de libros sobre datos
12 members, last active 3 years ago