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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Python Machine Learning - Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition (Paperback, 3rd Revised edition)
Loot Price: R1,513
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Python Machine Learning - Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition (Paperback, 3rd Revised edition)
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Applied machine learning with a solid foundation in theory. Revised
and expanded for TensorFlow 2, GANs, and reinforcement learning.
Purchase of the print or Kindle book includes a free eBook in the
PDF format. 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 DescriptionPython 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 forIf 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.
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