Authors

Yuxi (Hayden) Liu

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Yuxi (Hayden) Liu is an experienced data scientist who's focused on developing machine learning and deep learning models and systems. He has worked in a variety of data-driven domains and has applied his expertise in reinforcement learning to computational. He is an education enthusiast and the author of a series of ML books. His first book, Python Machine Learning By Example, was a #1 bestseller on Amazon India in 2017 and 2018. His other books include R Deep Learning Projects and Hands-On Deep Learning Architectures with Python published by Packt. He also published five first-authored IEEE transaction and conference papers during his master's research at the University of Toronto.

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
    $20.99
    Concepts, tools, and techniques to explore deep learning architectures and methodologies
  5. Python Machine Learning By Example - Second Edition
    $24.99
    Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn
  6. Deep Learning with R for Beginners
    $34.99
    Explore the world of neural networks by building powerful deep learning models using the R ecosystem
  7. PyTorch 1.x Reinforcement Learning Cookbook
    $31.99
    Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes
  8. 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