Librería: HPB-Ruby, Dallas, TX, Estados Unidos de America
EUR 13,93
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Añadir al carritopaperback. Condición: 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!
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 13,93
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Añadir al carritopaperback. Condición: 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!
Librería: Mahler Books, PFLUGERVILLE, TX, Estados Unidos de America
EUR 13,06
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Añadir al carritoPaperback. Condición: Very Good. This book is in very good condition; no remainder marks. It does have some cover shelfwear. Inside pages are clean. ; 220 pages.
Librería: HPB-Diamond, Dallas, TX, Estados Unidos de America
EUR 18,76
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Añadir al carritopaperback. Condición: 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!
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 32,11
Cantidad disponible: 15 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 33,77
Cantidad disponible: 15 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 37,38
Cantidad disponible: 20 disponibles
Añadir al carritoCondición: New.
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 37,87
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
EUR 43,32
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 43,66
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 44,53
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 44,50
Cantidad disponible: 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 33,58
Cantidad disponible: 20 disponibles
Añadir al carritoPaperback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por O'Reilly Media 1/27/2017, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 52,23
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Thoughtful Machine Learning with Python: A Test-Driven Approach. Book.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 48,71
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: 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. . . . .
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 45,61
Cantidad disponible: 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 50,67
Cantidad disponible: 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 59,42
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Librería: Revaluation Books, Exeter, Reino Unido
EUR 57,95
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 250 pages. 9.00x6.75x0.25 inches. In Stock.
EUR 34,94
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: 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.
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 45,62
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por O'reilly Media Feb 2017, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 41,86
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
EUR 40,18
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2017
ISBN 10: 1491924136 ISBN 13: 9781491924136
Librería: Revaluation Books, Exeter, Reino Unido
EUR 47,26
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 250 pages. 9.00x6.75x0.25 inches. In Stock. This item is printed on demand.