Real-World Machine Learning by Henrik Brink, Joseph Richards, Mark Fetherolf

Real-World Machine Learning



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Real-World Machine Learning Henrik Brink, Joseph Richards, Mark Fetherolf ebook
Publisher: Manning Publications Company
Page: 400
ISBN: 9781617291920
Format: pdf


Seeing is believing: the importance of visualization in real-world machine learning applications. 1.5 Steps in developing a machine learning application 11. Because, increasingly, machine learning is eating the world. 13 Get real-world data in a format usable by our algorithm. Most of the lectures were about a real world machine learning problem: finding and OCRing text in photographs. In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical component. Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Machine learning isn't a set-it-and-forget-it operation. It turns out, much of the pre-requisite Math for Machine Learning (Multi-variable events in the real world (or data in case of machine learning). This presentation was created by Ajay, Machine Learning Scientist at MachinePulse, to present at a Meetup on Jan. Accentuate.us: Machine Learning for Complex Language Entry the techniques that are working for them in the real world on real data.



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