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Python Machine Learning : Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow 2, 3rd Edition by Vahid Mirjalili and Sebastian Raschka (2019, Trade Paperback)

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Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Key Features Third edition of the bestselling, widely acclaimed Python machine learning book Clear and intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices Book Description 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. What you will learn Master the frameworks, models, and techniques that enable machines to 'learn' from data Use scikit-learn for machine learning and TensorFlow for deep learning Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more Build and train neural networks, GANs, and other models Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for anyone who wants to teach computers how to learn from data.

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1789955750
ISBN-13
9781789955750
eBay Product ID (ePID)
11038770372

Product Key Features

Author
Vahid Mirjalili, Sebastian Raschka
Publication Name
Python Machine Learning : Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow 2, 3rd Edition
Format
Trade Paperback
Language
English
Publication Year
2019
Type
Textbook
Number of Pages
772 Pages

Dimensions

Item Length
3.6in
Item Width
3in

Additional Product Features

Edition Number
3
Table of Content
Table of Contents Giving Computers the Ability to Learn from Data Training Simple Machine Learning Algorithms for Classification A Tour of Machine Learning Classifiers Using scikit-learn Building Good Training Datasets - Data Preprocessing Compressing Data via Dimensionality Reduction Learning Best Practices for Model Evaluation and Hyperparameter Tuning Combining Different Models for Ensemble Learning Applying Machine Learning to Sentiment Analysis Embedding a Machine Learning Model into a Web Application Predicting Continuous Target Variables with Regression Analysis Working with Unlabeled Data - Clustering Analysis Implementing a Multilayer Artificial Neural Network from Scratch Parallelizing Neural Network Training with TensorFlow (N.B. Please use the Look Inside option to see further chapters)
Target Audience
Trade
Topic
Natural Language Processing, Neural Networks, Programming Languages / Python
Genre
Computers

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Python Machine Learning : Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow 2, 3rd Edition by Vahid Mirjalili and Sebastian Raschka (2019, Trade Paperback)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

All listings for this product

item 1 Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-

item 2 Python Machine Learning : Machine Learning and Deep Learning with Python,...

item 3 Python Machine - Paperback, by Raschka Sebastian; Mirjalili - Very Good

item 4 Python Machine Learning: - Paperback, by Raschka Sebastian; Mirjalili - Good

item 5 Python Machine Learning: Machine Learning and Deep Learning with Python, scikit

item 6 Python Machine Learning : Machine Learning and Deep Learning with Python,...

item 7 Python Machine Learning: Machine Learning and Deep Learning with Python,...

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Leadership : Theory and Practice by Peter G. Northouse (2021, Trade Paperback, Revised edition)

Diagnostic and Statistical Manual of Mental Disorders : DSM-5-TR by American Psychiatric Association (2022, Hardcover)

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