| #602738 in Books | 2016-09-30 | Original language:English | PDF # 1 | 9.10 x.70 x7.30l,.0 | File Name: 1617291927 | 264 pages
||2 of 2 people found the following review helpful.| A Winner|By Reza Fardid|This is a great book on the subject, focusing on real-world applications of machine learning. It is not an introductory book on this subject. Readers interested in the mathematical foundations of machine learning are advised to refer to textbooks such as "An Introduction to Statistical Learning", by Gareth James. The authors demonstrate t|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.
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You easily download any file type for your device.Real-World Machine Learning | Henrik Brink, Joseph Richards, Mark Fetherolf. Which are the reasons I like to read books. Great story by a great author.
