Andreas c mã¼ller (6 resultados)

Idioma: Inglés
Editorial: O'Reilly Media, 2016
- Tapa blanda
Librería: HPB-Red, Dallas, TX, Estados Unidos de AmericaHPB-Red
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 13,53
Envío por EUR 3,34Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. 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.

Idioma: Inglés
Editorial: O'Reilly Media, 2016
- Tapa blanda
Librería: HPB-Diamond, Dallas, TX, Estados Unidos de AmericaHPB-Diamond
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 13,76
Envío por EUR 3,34Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. 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.

Idioma: Inglés
Editorial: O'Reilly Media (edition 1), 2016
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 18,39
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Idioma: Inglés
Editorial: O'Reilly Media, Incorporated, 2016
- Tapa blanda
Librería: Better World Books: West, Reno, NV, Estados Unidos de AmericaBetter World Books: West
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 28,14
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponible
Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Idioma: Inglés
Editorial: O'Reilly Media, Incorporated, 2016
- Tapa blanda
Librería: Better World Books, Mishawaka, IN, Estados Unidos de AmericaBetter World Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 28,14
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponible
Condición: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Idioma: Inglés
Editorial: O'Reilly Media, Incorporated, 2016
- Tapa blanda
Librería: Agapea Libros, Malaga, MA, EspañaAgapea Libros
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 56,33
Envío por EUR 20,11Se envía de España a Estados Unidos de AmericaCantidad disponible: 1 disponible
Condición: 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 learning 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.…