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Python Machine Learning - Second Edition: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

Name: Python Machine Learning - Second Edition: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow
Price: 33.99 USD
Availability: InStock
Rating: 4.5 (296 reviews)

4.5 of 5 Stars: Databases & Big Data - Python Machine Learning - Second Edition: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

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$33.99

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Description

Book Synopsis: Publisher's Note: This edition from 2017 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new third edition, updated for 2020 and featuring TensorFlow 2 and the latest in scikit-learn, reinforcement learning, and GANs, has now been published.

Key Features

Second edition of the bestselling book on Machine Learning
A practical approach to key frameworks in data science, machine learning, and deep learning
Use the most powerful Python libraries to implement machine learning and deep learning
Get to know the best practices to improve and optimize your machine learning systems and algorithms

Book Description

Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Using Python's open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.

Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow 1.x deep learning library. The scikit-learn code has also been fully updated to v0.18.1 to include improvements and additions to this versatile machine learning library.

Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities.

If you've read the first edition of this book, you'll be delighted to find a balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow 1.x more deeply than ever before, and get essential coverage of the Keras neural network library, along with updates to scikit-learn 0.18.1.

What you will learn

Understand the key frameworks in data science, machine learning, and deep learning
Harness the power of the latest Python open source libraries in machine learning
Explore machine learning techniques using challenging real-world data
Master deep neural network implementation using the TensorFlow 1.x library
Learn the mechanics of classification algorithms to implement the best tool for the job
Predict continuous target outcomes using regression analysis
Uncover hidden patterns and structures in data with clustering
Delve deeper into textual and social media data using sentiment analysis

Details

Are you ready to dive into the world of machine learning and deep learning? Look no further than the Python Machine Learning - Second Edition. This bestselling book offers a practical approach to key frameworks in data science, machine learning, and deep learning, all using the powerful Python libraries. With the updated version, featuring TensorFlow 2 and the latest in scikit-learn, reinforcement learning, and GANs, you'll be at the cutting edge of technology. Don't miss out on the opportunity to improve and optimize your machine learning systems and algorithms. Get your hands on the Python Machine Learning - Second Edition today.

The world of machine learning is evolving rapidly, and you need to keep up with the latest tools and techniques. The Python Machine Learning - Second Edition is fully extended and modernized to ensure you have the knowledge and skills necessary to excel in this field. With the inclusion of TensorFlow 1.x deep learning library and the updated scikit-learn v0.18.1, you'll have everything you need to create innovative solutions. Sebastian Raschka and Vahid Mirjalili's expertise will guide you through the process, from understanding the fundamentals to applying the algorithms to real industry challenges. Don't miss out on this opportunity to learn and work with the latest technologies.

If you are familiar with the first edition of the Python Machine Learning book, you'll be thrilled to find an even better balance of classical ideas and modern insights in this second edition. Every chapter has been critically updated, and new chapters on key technologies have been added. You'll have the opportunity to delve into TensorFlow 1.x and the Keras neural network library like never before. With the updates to scikit-learn 0.18.1, you'll be equipped with the most advanced techniques. Don't wait any longer - get your hands on the Python Machine Learning - Second Edition and unlock new data analysis opportunities.

Ready to take your machine learning skills to the next level? Look no further than the Python Machine Learning - Second Edition. With this book, you'll gain a deep understanding of key frameworks in data science, machine learning, and deep learning. You'll harness the power of Python libraries and explore challenging real-world data to master machine learning techniques. Whether you're interested in classification algorithms, regression analysis, clustering, or sentiment analysis, this book has got you covered. Don't miss the chance to uncover hidden patterns and structures in data and become an expert in this rapidly growing field. Order your copy of the Python Machine Learning - Second Edition today.

Order your copy of the Python Machine Learning - Second Edition and start your journey towards becoming a machine learning expert!

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