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This book is intended for Python programmers who want to add machine learning to their repertoire, either for a specific project or as part of keeping their toolkit relevant. Perhaps a new problem has come up at work that requires machine learning. With machine learning being covered so much in the news these days, it’s a useful skill to claim on a resume. This book provides the following for Python programmers:
■ A description of the basic problems that machine learning attacks
■ Several state-of-the-art algorithms
■ The principles of operation for these algorithms
■ Process steps for specifying, designing, and qualifying a machine learn-
■ Examples of the processes and algorithms
■ Hackable code
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