Python machine learning: machine learning and deep learning with python, scikit-learn,...
Описание
Applied machine learning with a solid foundation in theory. Revised and
expanded for TensorFlow 2, GANs, and reinforcement learning. \nKey Features \n
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- Third edition of the bestselling, widely acclaimed Python machine learning book
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- Clear and intuitive explanations take you deep into the theory and practice of Python machine learning
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- Fully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices
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\nBook Description \nPython 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. \n \nPacked 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. \n \nUpdated 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. \n \nThis 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. \nWhat you will learn \n \n
- Master the frameworks, models, and techniques that enable machines to 'learn' from data
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- Use scikit-learn for machine learning and TensorFlow for deep learning
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- Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more
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- Build and train neural networks, GANs, and other models
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- Discover best practices for evaluating and tuning models
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- Predict continuous target outcomes using regression analysis
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- Dig deeper into textual and social media data using sentiment analysis
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\nWho this book is for \nIf 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.
Також купити книгу Python Machine Learning: Machine Learning and Deep Learning
with Python, scikit-learn, and TensorFlow 2, 3rd Edition, Sebastian Raschka,
Vahid Mirjalili можливо по посиланню:
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