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Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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Verlag: Pearson Education Aug 2019, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - Students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine Learning with Python for Everyone brings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently.
Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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In den WarenkorbZustand: New. pp. 592.
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In den WarenkorbZustand: 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.
Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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Verlag: Addison-Wesley Professional, 2019
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Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
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ISBN 10: 0134845625 ISBN 13: 9780134845623
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In den WarenkorbPaperback. Zustand: Brand New. 420 pages. 9.00x7.00x1.25 inches. In Stock.
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Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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Verlag: Pearson Education (US), US, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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.
Verlag: Pearson Education (US), US, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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.
Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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In den WarenkorbZustand: Good. Corners are bent. Cover/Case has some rubbing and edgewear. Access codes, CDs, slipcovers and other accessories may not be included.
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In den WarenkorbPaperback. Zustand: NEW. Brand New! Fast Delivery USA Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-14 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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In den WarenkorbZustand: New.
Verlag: Pearson Education (US), Boston, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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.
Verlag: Pearson Education (US), Boston, 2019
ISBN 10: 0134845625 ISBN 13: 9780134845623
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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.