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Showing 1 - 12 of 12 results for “michael hu”
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  • The Art of Reinforcement Learning

    Fundamentals, Mathematics, and Implementations with Python

    by Michael Hu ...
    Series series Professional and Applied Computing (R0)
    Unlock the full potential of reinforcement learning (RL), a crucial subfield of Artificial Intelligence, with this comprehensive guide. This book provides a deep dive into RL's core concepts, mathematics, and practical algorithms, helping you to develop a thorough understanding of this cutting-edge technology.Beginning with an overview of fundamental concepts such as Markov decision processes, ... Read more

    $53.99 USD

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  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    by Aurélien Géron ...
    Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Read more

    $55.99 USD

  • Hands-On Machine Learning with Scikit-Learn and PyTorch

    Concepts, Tools, and Techniques to Build Intelligent Systems

    by Aurélien Géron ...
    The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author ... Read more

    $55.99 USD

  • Python Deep Learning

    Next generation techniques to revolutionize computer vision, AI, speech and data analysis

    by Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants ...
    Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Key Features\[\*\] Explore and create intelligent systems using cutting-edge deep learning techniques\[\*\] Implement deep learning algorithms and work with revolutionary libraries in Python\[\*\] Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and ... Read more

    $44.99 USD or Free with Kobo Plus

  • Foundations of Deep Reinforcement Learning

    Theory and Practice in Python

    by Laura Graesser, Wah Loon Keng ...
    Series series Addison-Wesley Data & Analytics Series
    The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and PracticeDeep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games—such as Go, Atari ... Read more

    $43.19 USD

  • Practical Deep Reinforcement Learning with Python

    Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch (English Edition)

    by Ivan Gridin ...
    Reinforcement learning is a fascinating branch of AI that differs from standard machine learning in several ways. Adaptation and learning in an unpredictable environment is the part of this project. There are numerous real-world applications for reinforcement learning these days, including medical, gambling, human imitation activity, and robotics.This book introduces readers to reinforcement ... Read more

    $14.39 USD or Free with Kobo Plus

  • Hands-On Gradient Boosting with XGBoost and scikit-learn

    Perform accessible machine learning and extreme gradient boosting with Python

    by Corey Wade ...
    Get to grips with building robust XGBoost models using Python and scikit-learn for deploymentKey FeaturesGet up and running with machine learning and understand how to boost models with XGBoost in no timeBuild real-world machine learning pipelines and fine-tune hyperparameters to achieve optimal resultsDiscover tips and tricks and gain innovative insights from XGBoost Kaggle winnersBook ... Read more

    $40.49 USD or Free with Kobo Plus

  • MATLAB for Machine Learning

    Practical examples of regression, clustering and neural networks

    by Giuseppe Ciaburro ...
    Extract patterns and knowledge from your data in easy way using MATLABKey FeaturesGet your first steps into machine learning with the help of this easy-to-follow guideLearn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLABUnderstand how your data works and identify hidden layers in the data with the power of machine learning.Book ... Read more

    $41.99 USD or Free with Kobo Plus

  • Reinforcement Learning Algorithms with Python

    Learn, understand, and develop smart algorithms for addressing AI challenges

    by Andrea Lonza ...
    Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and librariesKey FeaturesLearn, develop, and deploy advanced reinforcement learning algorithms to solve a variety of tasksUnderstand and develop model-free and model-based algorithms for building self-learning agentsWork with advanced Reinforcement Learning concepts and algorithms such as imitation ... Read more

    $26.99 USD or Free with Kobo Plus

  • Deep Reinforcement Learning with Python

    Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow

    by Sudharsan Ravichandiran ...
    An example-rich guide for beginners to start their reinforcement and deep reinforcement learning journey with state-of-the-art distinct algorithmsKey FeaturesCovers a vast spectrum of basic-to-advanced RL algorithms with mathematical explanations of each algorithmLearn how to implement algorithms with code by following examples with line-by-line explanationsExplore the latest RL methodologies such ... Read more

    $37.99 USD or Free with Kobo Plus

  • Deep Reinforcement Learning with Python

    With PyTorch, TensorFlow and OpenAI Gym

    by Nimish Sanghi ...
    Series series Professional and Applied Computing (R0)
    Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise.You'll begin by reviewing the Markov decision processes, Bellman equations, and dynamic programming that form ... Read more

    $49.99 USD

  • Response Surface Methodology

    Process and Product Optimization Using Designed Experiments

    by Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook ...
    Series series Wiley Series in Probability and Statistics
    Praise for the Third Edition:“This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.”- Zentralblatt MathFeaturing a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments prese... ... Read more

    $138.00 USD