Andreas C Mã¼ller (6 results)
- Softcover
Seller: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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Paperback. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.
- Softcover
Seller: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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- Softcover
Seller: HPB Inc., Dallas, TX, U.S.A.HPB Inc.
Contact seller5-star sellerCondition: Used - Very good
£ 14.83
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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.
- Softcover
Seller: HPB-Diamond, Dallas, TX, U.S.A.HPB-Diamond
Contact seller5-star sellerCondition: Used - Very good
£ 18.26
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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.
- Softcover
Seller: GoldBooks, Denver, CO, U.S.A.GoldBooks
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£ 43.27
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Paperback. Condition: new. New Copy. Customer Service Guaranteed.
Language: English
Published by O'Reilly Media, Incorporated, 2016
Series: Book 6 of 7 - Learning Python
- Softcover
Seller: Agapea Libros, Malaga, MA, SpainAgapea Libros
Contact seller5-star sellerCondition: New
£ 49.24
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Condition: New. Idioma/Language: Inglés. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine le…arning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you'll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
