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Introduction to Machine Learning with R: Rigorous Mathematical Analysis
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Introduction to Machine Learning with R
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Introduction to Machine Learning with R
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods. Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning. Explore machine learning models, algorithms, and data training Understand machine learning algorithms for supervised and unsupervised cases Examine statistical concepts for designing data for use in models Dive into linear regression models used in business and science Use single-layer and multilayer neural networks for calculating outcomes Look at how tree-based models work, including popular decision trees Get a comprehensive view of the machine learning ecosystem in R Explore the powerhouse of tools available in R's caret package.
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Introduction to Machine Learning with R: Rigorous Mathematical Analysis (Paperback or Softback)
Language: English
Published by O'Reilly Media 4/2/2018, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Paperback or Softback. Condition: New. Introduction to Machine Learning with R: Rigorous Mathematical Analysis. Book.
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Paperback. Condition: New. Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods. Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning. Explore machine learning models, algorithms, and data training Understand machine learning algorithms for supervised and unsupervised cases Examine statistical concepts for designing data for use in models Dive into linear regression models used in business and science Use single-layer and multilayer neural networks for calculating outcomes Look at how tree-based models work, including popular decision trees Get a comprehensive view of the machine learning ecosystem in R Explore the powerhouse of tools available in R's caret package.
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Condition: NEW.
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Introduction to Machine Learning With R : Rigorous Mathematical Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Introduction to Machine Learning with R: Rigorous Mathematical Analysis
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Introduction to Machine Learning With R : Rigorous Mathematical Analysis
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Introduction to Machine Learning With R: Rigorous Mathematical Analysis
Language: English
Published by Oreilly & Associates Inc, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
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Add to basketPaperback. Condition: Brand New. 212 pages. 9.00x7.00x0.50 inches. In Stock.
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Introduction to Machine Learning with R
Language: English
Published by O'Reilly Media, Inc, USA, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Introduction to Machine Learning with R
Language: English
Published by O?Reilly Media, Inc, USA, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Introduction to Machine Learning With R: Rigorous Mathematical Analysis
Language: English
Published by Oreilly & Associates Inc, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
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Add to basketPaperback. Condition: Brand New. 212 pages. 9.00x7.00x0.50 inches. In Stock.
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Introduction to Machine Learning with R
Language: English
Published by O Reilly Media, Inc, USA, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Condition: New. 2018. Paperback. . . . . . Books ship from the US and Ireland.
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Paperback. Condition: New. Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods. Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning. Explore machine learning models, algorithms, and data training Understand machine learning algorithms for supervised and unsupervised cases Examine statistical concepts for designing data for use in models Dive into linear regression models used in business and science Use single-layer and multilayer neural networks for calculating outcomes Look at how tree-based models work, including popular decision trees Get a comprehensive view of the machine learning ecosystem in R Explore the powerhouse of tools available in R's caret package.
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Condition: New. Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles.Über den AutorSco.
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Le machine learning avec R : Pour une modélisation mathématique rigoureuse
Language: French
Published by Coédition First Interactive, 2018
ISBN 10: 2412041156 ISBN 13: 9782412041154
US$ 67.66
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Add to basketPaperback. Condition: Brand New. 224 pages. French language. 8.98x7.40x0.63 inches. In Stock.
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US$ 49.89
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Add to basketPaperback. Condition: New. Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods. Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning. Explore machine learning models, algorithms, and data training Understand machine learning algorithms for supervised and unsupervised cases Examine statistical concepts for designing data for use in models Dive into linear regression models used in business and science Use single-layer and multilayer neural networks for calculating outcomes Look at how tree-based models work, including popular decision trees Get a comprehensive view of the machine learning ecosystem in R Explore the powerhouse of tools available in R's caret package.
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Introduction to Machine Learning with R : Rigorous Mathematical Analysis
Language: English
Published by O'reilly Media Mai 2018, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Taschenbuch. 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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Taschenbuch. Condition: Neu. Introduction to Machine Learning with R | Rigorous Mathematical Analysis | Scott V Burger | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2018 | O'Reilly Media | EAN 9781491976449 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Condition: fine. l'article peut presenter de tres legers signes d'usure, petites rayures ou imperfections esthetiques. vendeur professionnel; envoi soigne en 24/48h.
