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Thoughtful Machine Learning Python by Kirk Matthew (33 results)
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Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.86.
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Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.86.
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.86.
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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!
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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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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.
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Thoughtful Machine Learning with Python: A Test-Driven Approach
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
US$ 18.22
Convert currencyUS$ 7.56 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Very Good. The book 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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Condition: New.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Thoughtful Machine Learning with Python: A Test-Driven Approach (Paperback or Softback)
Published by O'Reilly Media 1/27/2017, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Language: English
Paperback or Softback. Condition: New. Thoughtful Machine Learning with Python: A Test-Driven Approach 0.77. Book.
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Thoughtful Machine Learning with Python
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 39.24
Convert currencyUS$ 5.62 shipping from United Kingdom to U.S.A.Quantity: 15 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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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.
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Condition: New.
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Thoughtful Machine Learning with Python
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 51.57
Convert currencyFree shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPaperback. 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.
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Thoughtful Machine Learning with Python
Published by O'Reilly Media, Inc, USA, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 39.82
Convert currencyUS$ 14.52 shipping from United Kingdom to U.S.A.Quantity: 20 available
Add to basketPaperback. Condition: New. New copy - Usually dispatched within 4 working days. 400.
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Thoughtful Machine Learning With Python : A Test-driven Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 39.09
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Add to basketCondition: New.
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Thoughtful Machine Learning With Python : A Test-driven Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 39.76
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US$ 51.88
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Add to basketCondition: New. pp. 250.
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Condition: New. pp. 250.
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Thoughtful Machine Learning with Python: A Test-Driven Approach
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 50.75
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Thoughtful Machine Learning with Python
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
US$ 58.94
Convert currencyUS$ 12.23 shipping from Ireland to U.S.A.Quantity: 20 available
Add to basketCondition: 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. . . . .
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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.
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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US$ 41.92
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Add to basketKartoniert / Broschiert. 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.
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Thoughtful Machine Learning With Python: A Test-driven Approach
Published by Oreilly & Associates Inc, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Language: English
US$ 68.28
Convert currencyUS$ 33.76 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 250 pages. 9.00x6.75x0.25 inches. In Stock.
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US$ 53.53
Convert currencyUS$ 50.00 shipping within U.S.A.Quantity: Over 20 available
Add to basketPaperback. 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.
