Download the fantastic book titled Introduction to Machine Learning with Python written by Andreas C. Müller, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Introduction to Machine Learning with Python", which was released on 26 September 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Introduction to Machine Learning with Python by Andreas C. Müller PDF
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
Detail About Introduction to Machine Learning with Python PDF
- Author : Andreas C. Müller
- Publisher : "O'Reilly Media, Inc."
- Genre : Computers
- Total Pages : 400 pages
- ISBN : 1449369898
- Release Date : 26 September 2016
- PDF File Size : 21,6 Mb
- Language : English
- Rating : 3.5/5 from 3 reviews
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