Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Seller: Mahler Books, PFLUGERVILLE, TX, U.S.A.
Paperback. Condition: Very Good. This book is in very good condition; no remainder marks. It does have some cover shelfwear. Inside pages are clean. ; 220 pages.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Paperback. Condition: New. Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book features tests with Python's Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you're a software engineer or business analyst interested in data science, this book will help you: Reference real-world examples to test each algorithm through engaging, hands-on exercises Apply test-driven development (TDD) to write and run tests before you start coding Explore techniques for improving your machine-learning models with data extraction and feature development Watch out for the risks of machine learning, such as underfitting or overfitting data Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 39.73
Quantity: 20 available
Add to basketCondition: New.
Language: English
Published by O'Reilly Media, Inc, USA, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 39.75
Quantity: 2 available
Add to basketPaperback. Condition: New. New copy - Usually dispatched within 4 working days.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 40.11
Quantity: 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Language: English
Published by O'Reilly Media 1/27/2017, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Thoughtful Machine Learning with Python: A Test-Driven Approach. Book.
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
Condition: New. Featuring graphs and highlighted code throughout, Thoughtful Machine Learning with Python guides you through the process of writing problem-solving code, and in the process teaches you how to approach problems through scientific deduction and clever algorithms. Num Pages: 250 pages. BIC Classification: UMW; UYQM. Category: (P) Professional & Vocational. Dimension: 233 x 178 x 15. Weight in Grams: 666. . 2017. 1st Edition. Paperback. . . . .
Condition: New. Featuring graphs and highlighted code throughout, Thoughtful Machine Learning with Python guides you through the process of writing problem-solving code, and in the process teaches you how to approach problems through scientific deduction and clever algorithms. Num Pages: 250 pages. BIC Classification: UMW; UYQM. Category: (P) Professional & Vocational. Dimension: 233 x 178 x 15. Weight in Grams: 666. . 2017. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
Language: English
Published by Oreilly & Associates Inc, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Seller: Revaluation Books, Exeter, United Kingdom
US$ 67.86
Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 250 pages. 9.00x6.75x0.25 inches. In Stock.
Paperback. Condition: New. Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book features tests with Python's Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you're a software engineer or business analyst interested in data science, this book will help you: Reference real-world examples to test each algorithm through engaging, hands-on exercises Apply test-driven development (TDD) to write and run tests before you start coding Explore techniques for improving your machine-learning models with data extraction and feature development Watch out for the risks of machine learning, such as underfitting or overfitting data Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms.
Condition: New. Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.Über den Autor.
Language: English
Published by O'reilly Media Feb 2017, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.
Language: English
Published by Oreilly & Associates Inc, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Seller: Revaluation Books, Exeter, United Kingdom
US$ 55.61
Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 250 pages. 9.00x6.75x0.25 inches. In Stock. This item is printed on demand.