|
We have had a few posts asking for book recommendations on the theoretical and practical aspects of machine learning and AI. What about books that cover the history of both fields? Are there any good ones out there that are relatively up to date, trace a coherent story and - most importantly - explain the motivations behind each development instead of being a grocery list of names and dates? I expect the books would be written more for the general reader, since there are so many different related fields to cover (philosophy, computer science, mathematics, neuroscience, ...). What I have found so far: |
|
I think I would add Noam Chomsky's "The Science of Language" to the list, as the book is a collection of interviews of Noam Chomsky and his thoughts on the evolution of language. The Changing Science of Machine Learning is a very good article that is actually a critique on the way machine learning is done currently but it tries to put across a brief history of evolution of the field. |
