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
Mining of Massive Datasets
Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart
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. RazmiDeep Utopia by Nick BostromCo-Intelligence by Ethan MollickSuperintelligence by Nick BostromUnmasking AI by Joy Buolamwini
Best machine learning books
86 books — 78 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

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
102 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
133 books — 121 voters

The full derivation of Grand Master System PAISX triangulation revealed of It the PREFIX and SUFFIX for I/O respectively.
Jonathan Roy

I define that the tech industry switches in all directions contrary to what people believe as the norm for the new Metaverse. Why spend trillions of dollars on big data when it is becoming more useless? We need dynamic content to create a boom in the tech industry for the next millennium. Why hire someone with a 4 year college degree for a career in database administration when companies can't afford to pay 100k a year? We can manage information stores perfectly fine with google sheets or micros ...more
Jonathan Roy Mckinney Gero EagleO2

More quotes...
Includes data mining, data visualization, machine learning and many other question related to
9 members, last active 13 years ago
Datacool Readers Group Grupo de lectores de libros sobre datos
12 members, last active 2 years ago