Jump to content

Featured Replies

Posted
Introduction to Machine Learning with Python

Introduction to Machine Learning with Python

A Guide for Data Scientists

by Andreas C. Müller, Sarah Guido

Publisher "O'Reilly Media, Inc."
Published Date 2016-09-26
Page Count 400
Categories Computers / Languages / Python, Computers / Artificial Intelligence / Natural Language Processing, Computers / Programming / Algorithms, Computers / Programming / Open Source
Language EN
Average Rating 3.5 (based on 3 ratings)
Maturity Rating No Mature Content Detected
ISBN 1449369898
Book Cover

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
More Information

Create an account or sign in to comment

Important Information

Terms of Use Privacy Policy Guidelines We have placed cookies on your device to help make this website better. You can adjust your cookie settings, otherwise we'll assume you're okay to continue.