Data Mining


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
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
107 books — 113 voters

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
92 books — 82 voters
Machine Learning by Samuel HackMachine Learning Mathematics by Samuel HackThe Text Mining Handbook by Ronen FeldmanDoing Corpus Linguistics by William J. CrawfordWord by Word by Kory Stamper
Data Mining and Writing (nonfiction)
25 books — 3 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
135 books — 125 voters

Hendrith Vanlon Smith Jr.
Use the data from the clients you already have to help you find new clients just like them.
Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

Once, a leader convinced others to act in the absence of information. Today, there’s simply too much information available. We don’t need to guess—we need to know where to focus. We need a disciplined approach to growth that identifies, quantifies, and overcomes risk every step of the way. Today’s leader doesn’t have all the answers. Instead, today’s leader knows what questions to ask. Go forth and ask good questions.
Alistair Croll, Lean Analytics: Use Data to Build a Better Startup Faster

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