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Python Machine Learning (Wiley)

By Wei-Meng Lee
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50+ new titles added every month on new and emerging tech
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This book & 6500+ ebooks & video courses on 1000+ technologies
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About this book
With computing power increasing exponentially and costs decreasing at the same time, this is the best time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. Python Machine Learning begins by covering some fundamental libraries used in Python that make machine learning possible. You'll learn how to manipulate arrays of numbers with NumPy and use pandas to deal with tabular data. Once you have a firm foundation in the basics, you'll explore machine learning using Python and the scikit-learn libraries. You'll learn how to visualize data by plotting different types of charts and graphs using the matplotlib library. You'll gain a solid understanding of how the various machine learning algorithms work behind the scenes. The later chapters explore the common machine learning algorithms, such as regression, clustering, and classification, and discuss how to deploy the models that you have built, so that they can be used by client applications running on mobile and desktop devices. By the end of the book, you'll have all the knowledge you need to begin machine learning using Python.
Publication date:
April 2019
Publisher
Packt
Pages
320
ISBN
9781119545637

About the Author
  • Wei-Meng Lee

    Wei-Meng Lee is a technologist and founder of Developer Learning Solutions, a technology company specializing in hands-on training on the latest mobile technologies. He has many years of training experience, and his training courses place special emphasis on the learning-by-doing approach. His hands-on approach to learning programming makes understanding the subject much easier than reading books, tutorials, and documentation. His name regularly appears in online and print publications, such as DevX, MobiForge, and CoDe Magazine.

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Python Machine Learning (Wiley)
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