Real-World Machine Learning Henrik Brink, Joseph Richards, Mark Fetherolf epub Real-World Machine Learning Henrik Brink, Joseph Richards, Mark Fetherolf pdf download Real-World Machine Learning Henrik Brink, Joseph Richards, Mark Fetherolf pdf file Real-World Machine Learning Henrik Brink, Joseph Richards, Mark Fetherolf audiobook Real-World Machine Learning Henrik Brink, Joseph Richards, Mark Fetherolf book review Real-World Machine Learning Henrik Brink, Joseph Richards, Mark Fetherolf summary
| #62646 in Books | 2016-09-30 | Original language:English | PDF # 1 | 9.10 x.70 x7.30l,.0 | File type: PDF | 264 pages||0 of 0 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 th|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 can specify the type of files you want, 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.
