Introduction to Machine Learning with Python

Introduction to Machine Learning with Python
Subtitle: A Guide for Data Scientists
Authors:
Publisher: O'Reilly Media, Inc, USA
EAN: 9781449369415
ISBN: 1449369413
Categories: Computing General | Computer Programming Software Development | Algorithms and Data Structures | Web Programming | Programming and Scripting Languages General | Natural Language |

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 Muller 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 whi


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