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So what T14 hasn't left US News yet?
Introduction to statistical learning
Automate the boring stuff
Hands on machine learning with scikit learn, keras and tensor flow
Data science for business
Data Smart
Thanks!
Bowl Leader
End-to-end data science curriculum fit into one book:
https://srdas.github.io/MLBook/
My very non-exhaustuve longer list... Most aren't ML. And not all are actually books.
Easy:
Machine Learning Yearning by Ng
Google's ML style guide
Hidden Technical Debt in Machine Learning Systems by Sculley et al (short paper)
The Quick Python Book by Ceder (💤 but useful)
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Geron
How to Make Friends and Influence People by Carnegie
Inspired by Cagan
Everything on 3blue1brown youtube channel
Harder:
Designing Data Intensive Applications by Kleppman
Linear Algebra Done Right by Axler
ISL by James et al
Tree Boosting With XGBoost - Why Does XGBoost Win "Every" Machine Learning Competition? by Neilsen (masters thesis)
Doing Bayesian Data Analysis by Kruschke
Deep Learning by Goodfellow et al
RL by Sutton and Barto
Network Science by Barabási
Harder harder:
Statistical Inference by Casella and Berger
ESL by Friedman, Tibshirani, Hastie
BDA3 by Gelman et al
Bowl Leader
ISL and the Geron book for hard skills, Inspired as a light read for how to work.
Definitely read the Google ML guide and the tech debt paper. You can do both in under a day.
Highly recommend introduction to statistical learning. Doing the excercises in R in parallel will give you a broad understanding. Helped me a lot with my master thesis.
Yes exactly. You will need some time end effort to go trough it. If you only want to know some fundamentals and simple coding, other books mitght be better suited. But if you want to really know eg how a random forest works in detail, the book is perfect. Nice balance between formulas, math, statistics and visualisations, explanations and examples.
Life 3.0
Bowl Leader
For the Julia-curious among us, a draft hot off the digital press
https://datasciencejuliahackers.com/