About The E-Book
- Title – Introduction to Machine Learning with Python
- Author – Andreas C. Müller and Sarah Guido
- Total Pages – 392 Pages
- Total Chapters – 8 Chapters
- E-Book Size – 31 MBs
Machine learning has become integral to 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 machine-learning solutions. With all the data available today, machine learning applications are limited only to your imagination.
You’ll learn the steps necessary to create a successful machine-learning application with Python and the sci-kit-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.
Machine Learning – Example Pages
Who can Read This?
This book is for the current and aspiring the machine learning the skills looking to
implement solutions to the real world problems. This is an introduced book requiring no previous knowledge of the machine learning or the AI.
We focus on using Python and the scikit learn library and work
through all the steps to create a successful machine learning application. The methods will be helpful for scientists and researchers, as well as data scientists working on commercial applications. You will get the most out of the book if you are familiar with Python.
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