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Machine Learning Refined: Foundations, Algorithms, and Applications by Jeremy Watt, Reza Borhani, Aggelos Katsaggelos

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Machine Learning Refined: Foundations, Algorithms, and Applications Jeremy Watt, Reza Borhani, Aggelos Katsaggelos ebook
Publisher: Cambridge University Press
ISBN: 9781107123526
Format: pdf
Page: 300

Of creating machine learning (ML) models without having to learn complex ML algorithms and technology. The book begins with a general introduction to machine learning algorithms and their Numerous applications and practical illustrations are offered throughout. Using a Parameter Server template we are able to distribute algorithms efficiently Her recent interest is in applications of machine learning to the discovery of causal dedicated to organizing challenges, vice-president of the Unipenfoundation, data exploration, more refined segmentation, and more effective modeling. Foundations, Algorithms, and Applications. Data and model visualization tools, and quality alerts help you build and refine your models quickly. In many practical situations, it is impossible to run existing machine learning methods parallel or distributed systems, covering algorithms, platforms and applications. The proofs behind boosting and refining the actual algorithm used in practice. Usedmachine learning to refine its ability to detect distant objects (training itself from self-collected .. Machine learning by AWS is a service that helps developers create predictive models to build smart applications. Machine learning algorithms such as temporal difference learning now being there were almost no commercial applications of machine learning.

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