Name: Introduction to Machine Learning With Python: A Guide for Data Scientists (en Inglés)
Price: 45970.00 CLP
Availability: InStock
Author: Müller, Andreas ; Guido, Sarah
ISBN: 9781449369415

portada Introduction to Machine Learning With Python: A Guide for Data Scientists (en Inglés)

Formato

Libro Físico

Autor

Andreas Müller

Sarah Guido

Editorial

O'Reilly Media

Año

2016

Idioma

Inglés

N° páginas

398

Encuadernación

Tapa Blanda

Dimensiones

23.1 x 17.5 x 1.8 cm

Peso

0.59 kg.

ISBN13

9781449369415

Categorías

Algoritmos y estructuras de datos
Lenguajes de programación scripting
Lenguaje natural y traducción automática

Introduction to Machine Learning With Python: A Guide for Data Scientists (en Inglés)

Andreas Müller (Autor) · Sarah Guido (Autor) · O'Reilly Media · Tapa Blanda

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Reseña del libro "Introduction to Machine Learning With Python: A Guide for Data Scientists (en 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. Youâ ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas MÃ1/4ller 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, youâ 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