ML-learning-path

Self learning guide for machine learning

View the Project on GitHub elephantscale/ML-learning-path

Books for Machine Learning

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This section is provided as a reference. We will reference specific chapters throughout the guide. So no need to go through these books right now :-)

High Level Machine Learning

Machine Learning Yearning (FREE)

Great book by Andrew Ng on how to run AI projects and building AI teams.

Get it here


Data Driven (FREE)

Get it here


Books for Hands On

Python Data Science Handbook (FREE)

Read it online here

Github here


Think Stats — Probability and Statistics for Programmers (FREE)

Really good book by Allen B. Downey.

Download it from here


Real World Machine Learning ($)

Really great book on introducing ML.

Book home

Read it at O’Reilly Learning - subscription required.

Buy it at Amazon


An Introduction to Statistical Learning (FREE)

A gentle introduction to machine learning; NOT heavy on maths. A really good book!

Get it here


The Elements of Statistical Learning (FREE)

Like the book above; more rigorous treatment of maths

Get it here


MATH 253: Machine Learning (FREE)

A great online book by Leslie Myint - an Assistant Professor of Statistics at Macalester College in the Department of Mathematics, Statistics, and Computer Science

Book Lists


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