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Real-World Machine Learning

by Henrik Brink, Joseph W. Richards and Mark Fetherolf
The cover of Real-World Machine Learning
4.18/5 on Goodreads
ISBN 9781617291920
Published in 2016
264 pages

Description

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.