In-depth introduction to machine learning in 15 hours of expert videos

In-depth introduction to machine learning in 15 hours of expert videos by Kevin Markham.

From the post:

In January 2014, Stanford University professors Trevor Hastie and Rob Tibshirani (authors of the legendary Elements of Statistical Learning textbook) taught an online course based on their newest textbook, An Introduction to Statistical Learning with Applications in R (ISLR). I found it to be an excellent course in statistical learning (also known as “machine learning”), largely due to the high quality of both the textbook and the video lectures. And as an R user, it was extremely helpful that they included R code to demonstrate most of the techniques described in the book.

If you are new to machine learning (and even if you are not an R user), I highly recommend reading ISLR from cover-to-cover to gain both a theoretical and practical understanding of many important methods for regression and classification. It is available as a free PDF download from the authors’ website.

Kevin provides links to the slides for each chapter and the videos with timings, so you can fit them in as time allows.

Enjoy!

I first saw this in a tweet by Christophe Lalanne.

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