In a fit of frustration, I wrote a troll post about AI: A Modern Approach.
https://twitter.com/srush_nlp/status/1446469104894873613
It led to a very interesting set of reactions. Here is a brief bibliography of the discussions that ensued:
- Lots of people feel this way!
- Scruffy vs Neat : https://en.wikipedia.org/wiki/Neats_and_scruffies, https://monoskop.org/images/1/1e/McCorduck_Pamela_Machines_Who_Think_2nd_ed.pdf
- Symbolic vs Connectionist (Minsky): https://web.media.mit.edu/~minsky/papers/SymbolicVs.Connectionist.html
- Rationality of Herbert Simon: https://www.scielo.br/j/rep/a/CWfwPPVWKvLrndfxR9vYFHL/?lang=en
- Algorithms for Decision Making: https://algorithmsbook.com/files/dm.pdf (this book looks amazing)
- Algorithms for Reinforcement Learning: https://sites.ualberta.ca/~szepesva/rlbook.html
- ML from Tom Mitchell's text: http://www.cs.cmu.edu/~tom/mlbook-chapter-slides.html
- Foundations of ML: https://cs.nyu.edu/~mohri/mlbook/
- Elements of Statistical Learning: https://web.stanford.edu/~hastie/ElemStatLearn/
- Understanding Machine Learning: https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/
- Cambridge Handbook of AI: http://www.cambridge.org/9780521871426
- Ali Rahimi's Test of Time Talk: https://www.youtube.com/watch?v=Qi1Yry33TQE