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Question:
What are your favourite data science books?
Asked on 2021-01-02 05:46 by Rachel W.

We're thinking of posting some reviews. Would love to hear what you think!!

Response #1
By Wojciech G. on 2021-01-04 02:57
I'm currently reading Machine Learning Design Patterns.

I'm not reading this end-to-end, but the Machine Learning with Python Cookbook is one book I recommend to lots of people exploring ML with Python. I find it's a good place to start if you're looking for high quality code with explanations.

Finally, I read an introduction to Clojure closer to the start of 2020... I haven't spent much time with Clojure or other Lisp variants but find them fascinating. The idea of "code as data" is something I feel is underutilized in data science and ML.

Wojciech G. on 2021-01-07 18:28:
As an update, we've posted a review of the ML Design Patterns book: https://phaseai.com/resources/machine-learning-design-patterns 
Response #2
By Sara G. on 2021-01-04 20:16
The Art of Data Science by Elizabeth Matsui and Roger D. Peng is a great introductory book! It's one of the first I read :)