Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
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Lingua: Inglese
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ISBN 10: 0134845625 ISBN 13: 9780134845623
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Lingua: Inglese
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ISBN 10: 0134845625 ISBN 13: 9780134845623
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ISBN 10: 0134845625 ISBN 13: 9780134845623
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Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
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Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
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Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
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Lingua: Inglese
Editore: Pearson Education (US), Boston, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. SamplesPreview sample pages from Machine Learning with Python for Everyone > Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
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ISBN 10: 0134845625 ISBN 13: 9780134845623
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Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: Books Puddle, New York, NY, U.S.A.
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ISBN 10: 0134845625 ISBN 13: 9780134845623
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ISBN 10: 0134845625 ISBN 13: 9780134845623
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ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloCondizione: New. pp. 592.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
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ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Aggiungi al carrelloCondizione: New. 2018. 01st Edition. Paperback. . . . . .
Lingua: Inglese
Editore: Pearson Education (US), US, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning conceptsClassify examples with classifiers, and quantify examples with regressorsRealistically assess performance of machine learning systemsUse feature engineering to smooth rough data into useful formsChain multiple components into one system and tune its performanceApply machine learning techniques to images and textConnect the core concepts to neural networks and graphical modelsLeverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,07
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Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: Revaluation Books, Exeter, Regno Unito
EUR 63,19
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Aggiungi al carrelloPaperback. Condizione: Brand New. 420 pages. 9.00x7.00x1.25 inches. In Stock.
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Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 420 pages. 9.00x7.00x1.25 inches. In Stock.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: Speedyhen, Hertfordshire, Regno Unito
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Über den AutorDr. Mark Fenner, owner of Fenner Training and Consulting, LLC, has taught computing and mathematics to diverse adult audiences since 1999, and holds a PhD in computer science. His research has included design, implemen.
Lingua: Inglese
Editore: Pearson Education (US), Boston, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 83,10
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. SamplesPreview sample pages from Machine Learning with Python for Everyone > Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Pearson Education (US), US, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning conceptsClassify examples with classifiers, and quantify examples with regressorsRealistically assess performance of machine learning systemsUse feature engineering to smooth rough data into useful formsChain multiple components into one system and tune its performanceApply machine learning techniques to images and textConnect the core concepts to neural networks and graphical modelsLeverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Lingua: Inglese
Editore: Pearson Education Aug 2019, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 62,06
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with PythonMachine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning.Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use.