Machine learning in general

• MIT: Introduction to Computational Thinking and Data Science (Fall 2016)
• California Institute of Technology – Learning from Data
• Harvard - CS109 Data Science
• Stansford - In-depth introduction to machine learning in 15 hours of expert videos

R

• Excellent hands on introduction on vectors, matrix, data frames, list, operators, conditional, loops, functions and more @ DataCamp

Foundations of machine learning

• Bloomberg: statistical approach introduction (with exercices)

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