Each one is a repository in its own, and they cover topics such as time series, regression, outliers, clustering, correlation, Hadoop, deep learning, Python, IoT, data sets, cheat sheets, infographics, and more (AI coming soon.) 

Each one features a number of popular articles and resources.

• 14 Timeless Reference Books
• 20 Big Data Repositories You Should Check Out
• A Plethora of Data Set Repositories
• Four Great Pictures Illustrating Machine Learning Concepts
• 15 Deep Learning Tutorials
• 11 Great Hadoop, Spark and Map-Reduce Articles
• 16 Great IoT Articles Published in 2016 
• 24 Core Articles About Data Science 
• 14 Great Articles and Tutorials on Clustering 
• 13 Great Articles and Tutorials about Correlation
• 26 Great Articles and Tutorials about Regression Analysis
• 10 Articles and Tutorials about Outliers
• 21 Great Articles and Tutorials on Time Series
• 15 Amazing Infographics and Other Visual Tutorials
• Misuses of Statistics: Examples and Solutions
• 20 Cheat Sheets: Python, ML, Data Science, R, and More

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