Authors

Yuxi (Hayden) Liu

Do you want to write for Packt?
Yuxi (Hayden) Liu is a machine learning software engineer at Google. Previously he worked as a machine learning scientist in a variety of data-driven domains and applied his machine learning expertise in computational advertising, marketing, and cybersecurity. Hayden is the author of a series of machine learning books and an education enthusiast. His first book, the first edition of Python Machine Learning By Example, was ranked the #1 bestseller in its category on Amazon in 2017 and 2018 and was translated into many languages. His other books include R Deep Learning Projects, Hands-On Deep Learning Architectures with Python, and PyTorch 1.x Reinforcement Learning Cookbook.

Books from Yuxi (Hayden) Liu

  1. R Deep Learning Projects
    $27.99
    5 real-world projects to help you master deep learning concepts
  2. Python Machine Learning By Example
    $39.99
    Take tiny steps to enter the big world of data science through this interesting guide
  3. Step-by-Step Machine Learning with Python [Video]
    $124.99
    Put your Python skills to the test and enter the big world of data science to learn the most effective machine learning tools and techniques with this interesting guide
  4. Hands-On Deep Learning Architectures with Python
    $23.99
    Concepts, tools, and techniques to explore deep learning architectures and methodologies
  5. Python Machine Learning By Example - Second Edition
    $27.99
    Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn
  6. PyTorch 1.x Reinforcement Learning Cookbook
    $31.99
    Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes
  7. Python Machine Learning By Example - Third Edition
    $24.99
    A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques