Python Machine Learning By Example: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, 3rd Edition
Liu, Yuxi (Hayden)
ISBN 10: 1800209711 ISBN 13: 9781800209718
Published by Packt Publishing, 2020
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About this Item
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Synopsis:
A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques
Key Features
- Dive into machine learning algorithms to solve the complex challenges faced by data scientists today
- Explore cutting edge content reflecting deep learning and reinforcement learning developments
- Use updated Python libraries such as TensorFlow, PyTorch, and scikit-learn to track machine learning projects end-to-end
Book Description
Python Machine Learning By Example, Third Edition serves...
About the Author:
Yuxi (Hayden) Liu is a machine learning software engineer at Google. Previously he worked as a machine learning scientist in a variety of data-driven domains and applied his machine learning expertise in computational advertising, marketing, and cybersecurity.
Hayden is the author of a series of machine learning books and an education enthusiast. His first book, the first edition of Python Machine Learning By Example, was ranked the #1 bestseller in its category on Amazon in 2017 and 2018 and was translated into many languages. His other books include R Deep Learning Projects, Hands-On Deep Learning Architectures with Python, and PyTorch 1.x Reinforcement Learning Cookbook.
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Bibliographic Details
Title: Python Machine Learning By Example: Build ...
Publisher: Packt Publishing
Publication Date: 2020
Binding: Paperback
Condition: New
Edition: 3rd.
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Python Machine Learning by Example : Build Intelligent Systems Using Python, TensorFlow 2, Pytorch, and Scikit-Learn, 3rd Edition
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