Name: Introduction to Machine Learning With Python: A Guide for Data Scientists
Price: 43.19 GBP
Availability: InStock
Author: Müller, Andreas ; Guido, Sarah
ISBN: 9781449369415

portada Introduction to Machine Learning With Python: A Guide for Data Scientists

Type

Physical Book

Author

Andreas Müller

Sarah Guido

Publisher

O'Reilly Media

Year

2016

Language

English

Pages

398

Format

Paperback

Dimensions

23.1 x 17.5 x 1.8 cm

Weight

0.59 kg.

ISBN13

9781449369415

Synopsis "Introduction to Machine Learning With Python: A Guide for Data Scientists"

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