Learning Machine Learning

Machine learning. Just when you thought there were enough blog posts about the best way to learn, here’s another.

Jokes aside, there are so many online resources now for getting started with machine learning that the biggest problem is figuring out which ones are right for you. These are the resources that worked for me:

1. Andrew Ng’s first Coursera course. I started learning machine learning with this course. It’s a great primer, based on the real CS229 course at Stanford and I’d recommend it to anyone starting off from a math/CS background.
2. Hands-On Machine Learning with Scikit-Learn and TensorFlow. After I finished the Coursera course, I wanted to start applying ML hands on. This book is the most modern one I could find, and so far it’s been great.
3. Andrew Ng’s deep learning specialization. I’m gradually working through the 5 course deep learning specialization on my free time.

Louis Rassaby

I’m a Brooklyn-based software engineer and entrepreneur currently at Google.

I’ve founded a couple of things. Previously, I led the new products team engineering team at Phosphorus Genomics, analyzing genetic data and educating tens of thousands of people on their risks of developing or passing on genetic diseases.

Away from the keyboard, I make food and music. I’m half of a band called Cellolele and I once played in an ad for Versace.