Python Machine Learning, 3rd Edition
Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
Price | $35.99 - $50.58
|
Rating | |
Authors | Sebastian Raschka, Vahid Mirjalili |
Publisher | Packt Publishing |
Published | 2019 |
Pages | 770 |
Language | English |
Format | Paper book / ebook (PDF) |
ISBN-10 | 1789955750 |
ISBN-13 | 9781789955750 |
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.
Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself.
Updated for TensorFlow 2.0, this new third edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents.
This book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.
- Sebastian Raschka (3 books)
- Vahid Mirjalili (2 books)
5 5 706
Similar Books
Mastering Azure Machine Learning, 2nd Edition
by Christoph Korner, Marcel Alsdorf
Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logg...
Price: $41.99 | Publisher: Packt Publishing | Release: 2022
An Introduction to Machine Learning, 2nd Edition
by Miroslav Kubat
This book presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, n...
Price: $65.87 | Free ebook | Publisher: Springer | Release: 2017
Building Machine Learning Systems with Python, 3rd Edition
by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Python Machine Learning By Example, 3rd Edition
by Yuxi (Hayden) Liu
Python Machine Learning By Example, 3rd Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing...
Price: $34.99 | Publisher: Packt Publishing | Release: 2020
Building Machine Learning Systems with Python, 2nd Edition
by Luis Pedro Coelho, Willi Richert
Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation. With its excellent collection of open source machine learn...
Price: $49.99 | Publisher: Packt Publishing | Release: 2015
by Nick Pentreath
Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, ...
Price: $34.99 | Publisher: Packt Publishing | Release: 2015
by Sebastian Raschka
Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into...
Price: $4.76 | Publisher: Packt Publishing | Release: 2015
Python Machine Learning Projects
by Lisa Tagliaferri, Michelle Morales, Ellie Birkbeck, Alvin Wan
As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions - sometimes without final input from humans who may be impacted by these findings - it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the d...
Free ebook | Publisher: DigitalOcean | Release: 2019