A mix of professional and personal sources that come to mind. No particular order, just jotted down as they surfaced.
I am planning to add links to notes and reflections on some of the items.
Technical books
- An introduction to Statistical Learning, G. Casella, S. Fienberg and I. Olkin
- Deep Learning, I. Goodfellow, Y. Bengio and A. Courville
- The Kaggle Book, K. Banachewicz and L. Massaron
- Artificial Intelligence, a guide to intelligent systems, M. Negnevitsky
- Hands-on Machine Learning with Scikit-Learn, Keras and Tensorflow, A. Geron
- Deep Learning with Python, F. Chollet
- Introduction to information retrieval, C. Manning
- Statistics in plain English, T. Urdan
- Approaching (Almost) Any Machine Learning Problem, A. Thakur
- Introduction to Computation and Programming using Python, J. Guttag
- The nature of code, D. Shiffman
Non-fiction books
- So good they can't ignore you, Cal Newport
- Sapiens, Yuval Noah Harari
- Psychology of Money, Morgan Housel
- Building a second brain, Tiago Forte
- Emergence, Steven Johnson
- Anything You Want, Derek Sivers
- Superforcasting, Philip Tetlock and Dan Gardner
- The Black Swan, Nassim Nicholas Taleb
- Weapons of Math Destruction, Cathy O'Neil
- A Thousand Years of Nonlinear History, Manuel De Landa
Blogs
- Derek Sivers
- Nat Eliason
- Mr. Rip's Retire in Progress
- Non Interactive by James Betker
YouTube channels and Podcasts
- 3Blue1Brown by Grant Sanderson
- The AI Epiphany by Aleksa Gordic
- Lex Fridman
- Abhishek Thakur
- Alfredo Canziani
- Sentdex by Harrison Kinsley
Channels for Italian speakers:
- Mr. Rip
- Piero Savastano
- Data Driven People by Giuseppe Dejan Lucido