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Real-World Machine Learning

Henrik Brink, Joseph Richards, Mark Fetherolf




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 | #187980 in Books |  2016-09-30 | Original language:English | PDF # 1 |  9.10 x.70 x7.30l,.0 | File type: PDF | 264 pages

||6 of 8 people found the following review helpful.| I wish I had this book when I started with machine learning|By Customer|This is a great work for the intermediate-level developer - some basic familiarity with Python coding is assumed, along with basic understanding of algorithms - so it makes a really good companion for programmers wanting to adopt machine learning practices and problem-solving. It really emphasizes best pra|About the Author|
|Henrik Brink is a data scientist and software developer with extensive ML experience in industry and academia.

Summary

Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.


You easily download any file type for your device.Real-World Machine Learning   |  Henrik Brink, Joseph Richards, Mark Fetherolf. Just read it with an open mind because none of us really know.

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