Python Machine Learning PDF by Sebastian Raschka is a comprehensive guide to machine learning and deep learning using the Python programming language. Published in 1963 by Packt Publishing, it has quickly become hugely popular among data scientists, AI developers, and data analysts alike.
The themes explored in this book include supervised and unsupervised learning algorithms, advanced machine learning techniques such as Support Vector Machines (SVMs) and Artificial Neural Networks (ANNs), and more. It also covers various Python libraries such as TensorFlow and Keras, which are essential for data science projects.
The book has received excellent reviews from the likes of Forbes and The Guardian, with readers praising the book’s clear explanation of esoteric concepts and its practical instruction. It has sold over 90,000 copies across the world and is available in three formats – paperback, e-book, and Kindle.
Table of Contents
Python Machine Learning Summary
Python Machine Learning by Sebastian Raschka is a comprehensive book on the fundamentals of machine learning, featuring dozens of algorithms and numerous practical examples. The book provides an in-depth exploration of the different approaches to solving problems associated with artificial intelligence, such as deep learning, decision trees, genetic algorithms, and support vector machines.
The book begins with an overview of machine learning and its history, including the development of artificial neural networks in the 1980s and the breakthroughs made in deep learning since then. It then introduces a range of popular tools for implementing machine learning algorithms, such as scikit-learn and TensorFlow. These are illustrated with numerous examples of real-world applications, such as object recognition, facial expression recognition, and recommendation systems.
The book also covers the fundamentals of supervised and unsupervised learning algorithms. It explains how to properly evaluate a machine learning model using different methods such as cross-validation, confusion matrices, and precision/recall scores. Finally, the book demonstrates advanced techniques such as ensemble learning, boosting, and bagging.
Details of Python Machine Learning Book
| Book | Python Machine Learning |
| Author | Sebastian Raschka |
| Original language | English |
| Originally published | 1963 |
| Category | Computers, Languages |
| Publisher | Packt Publishing |
| Total Pages | 772 |
| Format | PDF, ePub |
Multiple Languages Editions of Python Machine Learning Book
Python Machine Learning book has been released in multiple languages. It has been translated into English, German, Chinese, and Japanese.
| Book Editions | Check Now |
|---|---|
| English | Check Price |
| German | Check Price |
| Spanish | Check Price |
| Chinese | Check Price |
About the Author
Sebastian Raschka is a researcher, consultant, and professor in the Machine Learning field. He is the author of several books and articles on the topics of Machine Learning and Python programming language.
He holds a Ph.D. in Statistics from the University of Wisconsin–Madison with research focused on using machine learning techniques to predict molecular interaction networks for drug discovery applications. Sebastian is also the author of the popular open-source Python Machine Learning Book, which has now been translated into four languages.
Sebastian Raschka was born and raised in Germany, and currently resides in Madison, Wisconsin. He has been an active member of the Python programming community since 2004. His work has been featured in various programming magazines, such as Dr. Dobb’s Journal and Linux Magazine.
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FAQs(Frequently Asked Questions)
What is the Python Machine Learning book about?
The Python Machine Learning book by Sebastian Raschka provides a comprehensive introduction to machine learning and deep learning using the popular Python programming language.
How many pages does Python Machine Learning have?
The Python Machine Learning book by Sebastian Raschka has 528 pages.
Who is the target audience of the Python Machine Learning book?
The Python Machine Learning book is designed for both beginners and experienced machine learning practitioners, offering a practical approach to key concepts in ML.
Is Python Machine Learning worth reading?
The Python Machine Learning book by Sebastian Raschka is a comprehensive introduction to machine learning and deep learning using the popular Python programming language.
How long does it take to read the Python Machine Learning book?
It takes approximately 12 to 16 hours to read the whole Python Machine Learning book. However, the time may vary depending on your reading speed.
