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Introduction Machine Learning Rigorous by Burger Scott (18 results)
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Condition: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Introduction to Machine Learning with R: Rigorous Mathematical Modeling
Published by O'Reilly Media, Inc., Sebastopol, CA, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Language: English
Seller: PsychoBabel & Skoob Books, Didcot, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Paperback in very good condition. Covers are clean, binding is sound and content is as unread. LW. Used.
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Introduction to Machine Learning With R : Rigorous Mathematical Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Paperback. Condition: New.
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Introduction to Machine Learning With R : Rigorous Mathematical Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Introduction to Machine Learning with R: Rigorous Mathematical Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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£ 16.23
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Add to basketCondition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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£ 16.23
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£ 30.39
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£ 34.57
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Introduction to Machine Learning with R: Rigorous Mathematical Analysis (Paperback or Softback)
Published by O'Reilly Media 4/2/2018, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Language: English
£ 42.34
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Add to basketPaperback or Softback. Condition: New. Introduction to Machine Learning with R: Rigorous Mathematical Analysis 0.8. Book.
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£ 49.68
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Introduction to Machine Learning with R : Rigorous Mathematical Analysis
Published by O'reilly Media Mär 2018, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Language: English
£ 50.07
Convert currency£ 11.95 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Neuware - Machine learning can be a difficult subject if you're not familiar with the basics. With this book, you'll get a solid foundation of introductory principles used in machine learning with the statistical programming language R. You'll start with the basics like regression, then move into more advanced topics like neural networks, and finally delve into the frontier of machine learning in the R world with packages like Caret. By developing a familiarity with topics like understanding the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Knowing when to use a specific model or not can mean the difference between a highly accurate model and a completely useless one. This book provides copious examples to build a working knowledge of machine learning. Understand the major parts of machine learning algorithms Recognize how machine learning can be used to solve a problem in a simple manner Figure out when to use certain machine learning algorithms versus others Learn how to operationalize algorithms with cutting edge packages.
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£ 11
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Add to basketCondition: VeryGood. Fast shipping and order satisfaction guaranteed. A portion of your purchase benefits Non-Profit Organizations, First Aid and Fire Stations!
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Introduction to Machine Learning With R: Rigorous Mathematical Analysis
Published by Oreilly & Associates Inc, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Language: English
Paperback. Condition: Brand New. 212 pages. 9.00x7.00x0.50 inches. In Stock.
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£ 29.37
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Add to basketpaperback. Condition: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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£ 43.84
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Introduction to Machine Learning With R: Rigorous Mathematical Analysis
Published by Oreilly & Associates Inc, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Language: English
Paperback. Condition: Brand New. 212 pages. 9.00x7.00x0.50 inches. In Stock. This item is printed on demand.
