Python machine learning: machine learning and deep learning with python, scikit-learn,...

1240 грн -16% 1046 грн

Описание

Applied machine learning with a solid foundation in theory. Revised and
expanded for TensorFlow 2, GANs, and reinforcement learning. \nKey Features \n

- Machine learning pocket reference: working with structured data in python, matt harrison
\n

- Clear and intuitive explanations take you deep into the theory and practice of Python machine learning
\n

- Fully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices
\n

\nBook Description \nPython Machine Learning, Third Edition is a comprehensive
follow instructions, with this machine learning book, Raschka and Mirjalili
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
Applied machine learning with a solid foundation in theory. Revised and
Third edition of the bestselling, widely acclaimed Python machine learning book
Master the frameworks, models, and techniques that enable machines to learn from data
applications for yourself. \n \nUpdated for TensorFlow 2.0, this new third
new to machine learning or want to deepen your knowledge of the latest
latest additions to scikit-learn. It's also expanded to cover cutting-edge
reinforcement learning techniques based on deep learning, as well as an
visualizations, and working examples, the book covers all the essential
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
anyone who wants to teach computers how to learn from data
developments. \nWhat you will learn \n \n

- Master the frameworks, models, and techniques that enable machines to 'learn' from data
\n

- follow instructions, with this machine learning book, Raschka and Mirjalili
\n

- Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more
\n

- Applied machine learning with a solid foundation in theory. Revised and
\n

- Discover best practices for evaluating and tuning models
\n

- visualizations, and working examples, the book covers all the essential
\n

- Dig deeper into textual and social media data using sentiment analysis
\n

\nWho this book is for \nIf you know some Python and you want to use machine
Machine learning pocket reference: working with structured data in python, matt harrison
Practical deep learning: a python-based introduction, ronald t. kneusel
latest additions to scikit-learn. Its also expanded to cover cutting-edge
Master the frameworks, models, and techniques that enable machines to learn from data
scratch or extend your machine learning knowledge, this is an essential.

Також купити книгу Python Machine Learning: Machine Learning and Deep Learning
new to machine learning or want to deepen your knowledge of the latest,
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