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Book is 10 years old, isn't it outdated?
Nope, and AIMA/PRML/ESL are still king! Apart from these 3 you literally need nothing else for the very fundamentals and even advanced topics.
If anyone wants to understand fundamentals of machine learning, one of the superb resources I have found is, Stanford's "Probability for computer scientists"[1].
It goes into theoretical underpinnings of probability theory and ML, IMO better than any other course I have seen. But, this is a primarily a probability course that discusses the fundamentals of machine learning. (Yeah, Andrew Ng is legendary, but his course demands some mathematical familiarity with linear algebra topics)
There is a course reader for CS109 [2]. You can download pdf version of this. Caltech's learning from data was really good too, if someone is looking for theoretical understanding of ML topics [3].
There is also book for excellent caltech course[4].
Also, neural networks zero to hero is for understanding how neural networks are built from ground up [5].
[1] https://www.youtube.com/watch?v=2MuDZIAzBMY&list=PLoROMvodv4...
[2] https://chrispiech.github.io/probabilityForComputerScientist...
[3] https://work.caltech.edu/telecourse
[4] https://www.amazon.com/Learning-Data-Yaser-S-Abu-Mostafa/dp/...
[5] https://www.youtube.com/watch?v=VMj-3S1tku0&list=PLAqhIrjkxb...
Earlier quoted context omitted.
Nope, and AIMA/PRML/ESL are still king! Apart from these 3 you literally need nothing else for the very fundamentals and even advanced topics.
This is one of the most acronym heavy discussions I've ever seen. I searched "AIMA/PRML/ESL" to find the books, and the first result is a Reddit thread with most upvoted comment "Can we use the names of the books instead of all acronyms, not everyone knows them lol".
AIMA is Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig.
PRM is Pattern Recognition and Machine Learning by Christopher Bishop.
ESL is Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman.
Anyone who wants to demystify ML should read: The StatQuest Illustrated Guide to Machine Learning [0] By Josh Starmer. To this day I haven't found a teacher who could express complex ideas as clearly and concisely as Starmer does. It's written in an almost children's book like format that is very easy to read and understand. He also just published a book on NN that is just as good. Highly recommend even if you are al…
Anyone who wants to demystify ML should read: The StatQuest Illustrated Guide to Machine Learning [0] By Josh Starmer. To this day I haven't found a teacher who could express complex ideas as clearly and concisely as Starmer does. It's written in an almost children's book like format that is very easy to read and understand. He also just published a book on NN that is just as good. Highly recommend even if you are al…
Is it reasonable to think that if one grinds to the book suggested here and background in web/dev SWE, one can break into ML/AI role?
Anyone who wants to demystify ML should read: The StatQuest Illustrated Guide to Machine Learning [0] By Josh Starmer. To this day I haven't found a teacher who could express complex ideas as clearly and concisely as Starmer does. It's written in an almost children's book like format that is very easy to read and understand. He also just published a book on NN that is just as good. Highly recommend even if you are al…
Earlier quoted context omitted.
I haven't read that book, but I can personally attest to Josh Starmer's StatQuest Youtube channel[1] being awesome! I used his lessons as a supplement to my studies when I was studying statistics in uni. [1]: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw
This is the 2nd or 3rd time in the last few weeks I've seen this person recommended. Must be something to that.
Anyone who wants to demystify ML should read: The StatQuest Illustrated Guide to Machine Learning [0] By Josh Starmer. To this day I haven't found a teacher who could express complex ideas as clearly and concisely as Starmer does. It's written in an almost children's book like format that is very easy to read and understand. He also just published a book on NN that is just as good. Highly recommend even if you are al…
What other books do people recommend?