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

  • Covers a lot of theory on building a machine learning application

  • You build a ML Editor that gives recommendations

  • Important concepts are illustrated in specific notebooks

  • Incremental changes to the model for better results

Cons

  • More theory, less code

  • Light on deployment details

  • Not all tied together (filter models / tests).

My github repo - It contains the chapter numbers in the filenames.