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Thanks to the four authors and publisher for making this available as a PDF download.

I am definitely going to give this a read. After decades of more or less using GOFAI, the last eight years has mostly been machine learning and deep learning. Lately I have been scratching an itch to combine old fashioned symbolic AI with more modern deep learning (hybrid systems). I started a new job on Monday where I think this may happen.

From the table of contents, the four examples look appropriate for looking at ML in the context of large real world problems.



Are you sure? You sound like someone who’s interested in actually doing things; the book looks like endless rambling about high level ethical/conceptual/societal context for data science. It looks about as interesting as picking up a random volume of a random social sciences journal. I think Peter Norvig’s python code is beautiful and amazing though, and probably same for most things he’s done.


The code is the least important part of data science.


I didn't mean to suggest otherwise.




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