Learning Machine Learning


November 12, 2017

This post will talk about resources for how I’m going about learning machine learning.


  • “Hands-On Machine Learning with Scikit-Learn and TensorFlow” by Aurélien Géron
  • “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  • “The Elements of Statistical Learning” by Trevor Hastie, Robert Tibshirani, and Jerome Friedman



These podcasts are amazing,and what got me interested in the first place. Get a podcast app, I love podcast addict (android). Some awesome podcasts:

Some that are supposed to be good but never tried:

  • Not so standard deviations
  • Data science at home
  • Talking machines

Online Courses

A few awesome courses.

Staying Up-to-Date

One of the best things about the machine learning field is how much work happens in the open.

Many researchers publish their work on arXiv months or even years before it appears in journals or at conferences. Following key researchers and institutions on Twitter is an excellent way to stay informed about the latest developments as they happen.

Some great accounts to follow: @goodfellow_ian, @ylecun, @karpathy, @gwern.

Don’t be afraid of reading arXiv papers, they might seem intimidating in the beginning but they get easier over time.