Building Machine Learning Powered Applications
Book Review - Building Machine Learning Powered Applications by Emmanuel Ameisen
I found this book a bit frustrating to follow.
Wherever the code is in shown the book and a link provided - it is to the main github repo and not to the individual jupyter notebook or python code. Nor was the filename mentioned beneath the code snippet.
Not a deal breaker but it is frustrating.
Pros
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Covers a lot of theory on building a machine learning application
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You build a ML Editor that gives recommendations
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Important concepts are illustrated in specific notebooks
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Incremental changes to the model for better results
Cons
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More theory, less code
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Light on deployment details
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Book links point only to the main repo and not the specific file with the code
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Not all tied together (filter models / tests).
My github repo - It contains the chapter numbers in the filenames.