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Jiang Hui (York University Toronto) - Machine Learning Fundamentals A Concise Introduction - Paperback Switch Acc Description: New York Times bestselling

Jiang Hui (York University Toronto) - Machine Learning Fundamentals A Concise Introduction - Paperback Switch Acc Description: New York Times bestsellingBinding: Paperback Description: This lucid accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus linear algebra probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SV Ms boosted trees HM Ms and LD As plus popular deep learning methods such as convolution

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Description: New York Times bestselling author Lynsay Sands returns in this latest chapter of the Argeneau series with an immortal who is having a bit of bad luck while trying to woo his life mate Alasdair Mac Kenzie has never once considered himself unlucky in all the centuries he's been an immortal rogue enforcer

When she breaks into a house in Hampstead she gets more than she bargained for - a body in the study and the law on the doorstep

When he arrives he finds that he doesn t recognize the country or anyone in it

This item's title is: Dolenz Sings R

But cooperation Jonathan Silvertown argues is a fundamental part of our make - up and deeply woven into the whole four - billion - year history of life

Jiang Hui (York University Toronto) - Machine Learning Fundamentals A Concise Introduction - Paperback Switch Acc Description: New York Times bestsellingBinding: Paperback Description: This lucid accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus linear algebra probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SV Ms boosted trees HM Ms and LD As plus popular deep learning methods such as convolution

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