Skip to main content
Search Button
United States Kobo store Gift Cards Help

Rakuten Kobo

Wishlist

Shopping Cart

You're getting the VIP treatment!

Item(s) unavailable for purchase
Please review your cart. You can remove the unavailable item(s) now or we'll automatically remove it at Checkout.
itemsitem
itemsitem

Recommended For You

Loading...


“ivan vasilev”

Showing 1 - 12 of 12 results for “ivan vasilev”
Skip side bar filters

  • Python Deep Learning

    Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

    by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca ...
    Learn advanced state-of-the-art deep learning techniques and their applications using popular Python librariesKey FeaturesBuild a strong foundation in neural networks and deep learning with Python librariesExplore advanced deep learning techniques and their applications across computer vision and NLPLearn how a computer can navigate in complex environments with reinforcement learningBook ... Read more

    $44.99 USD or Free with Kobo Plus

  • Python Deep Learning

    Understand how deep neural networks work and apply them to real-world tasks

    by Ivan Vasilev, Valentino Zocca ...
    Master effective navigation of neural networks, including convolutions and transformers, to tackle computer vision and NLP tasks using PythonKey FeaturesUnderstand the theory, mathematical foundations and structure of deep neural networksBecome familiar with transformers, large language models, and convolutional networksLearn how to apply them to various computer vision and natural language ... Read more

    $37.79 USD or Free with Kobo Plus

  • Advanced Deep Learning with Python

    Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

    by Ivan Vasilev ...
    Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystemKey FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep ... Read more

    $34.19 USD or Free with Kobo Plus

People who read these also enjoyed

  • Deep Learning

    A Visual Approach

    by Andrew Glassner ...
    A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math.Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors ... Read more

    $59.99 USD

  • The Book of R

    A First Course in Programming and Statistics

    by Tilman M. Davies ...
    The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.You’ll start with the basics, like how to handle data and write simple ... Read more

    $35.99 USD

  • Machine Learning with PyTorch and Scikit-Learn

    Develop machine learning and deep learning models with Python

    by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili ...
    This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice ... Read more

    $39.99 USD or Free with Kobo Plus

  • Feature Engineering for Machine Learning

    Principles and Techniques for Data Scientists

    by Alice Zheng, Amanda Casari ...
    Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, ... Read more

    $36.79 USD

  • Machine Learning Algorithms

    A reference guide to popular algorithms for data science and machine learning

    by Giuseppe Bonaccorso ...
    Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideKey Features\[\*\] Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.\[\*\] Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their ... Read more

    $41.39 USD or Free with Kobo Plus

  • Deep Learning with Python, Second Edition

    by Francois Chollet ...
    Unlock the groundbreaking advances of deep learning with this extensively revised edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world.In Deep Learning with Python, Second Edition you will learn:Deep learning from first principlesImage classification & image segmentationTimeseries ... Read more

    $43.99 USD

  • Python: Real World Machine Learning

    by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti ...
    Learn to solve challenging data science problems by building powerful machine learning models using PythonAbout This BookUnderstand which algorithms to use in a given context with the help of this exciting recipe-based guideThis practical tutorial tackles real-world computing problems through a rigorous and effective approachBuild state-of-the-art models and develop personalized recommendations to ... Read more

    $64.79 USD or Free with Kobo Plus

  • Deep Reinforcement Learning Hands-On

    Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

    by Maxim Lapan, Oleg Vasilev, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla ...
    Publisher\\'s Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.Key FeaturesExplore deep reinforcement learning (RL), from the first principles to ... Read more

    $37.79 USD or Free with Kobo Plus

  • Deep Learning with Python

    by Francois Chollet ...
    SummaryDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About ... Read more

    $49.99 USD