Deep Learning: From Big Data to Artificial Intelligence with R

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Deep Learning: From Big Data to Artificial Intelligence with R

  • Author:Stephane S. Tuffery
  • Length: 544 pages
  • Edition: 1
  • Publisher: Wiley
  • Publication Date: 2022-11-22
  • ISBN-10: 1119845017
  • ISBN-13: 9781119845010
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    Book Description

    DEEP LEARNING

    A concise and practical exploration of key topics and applications in data science

    InDeep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. Stphane Tuffry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natura天梭l language processing, and image recognition.

    This is a thoroughly revised and updated edition of a book originally released in French, with new examples and methods included throughout. Classroom-tested and intuitively organized,Deep Learning: From Big Data to Artificial Intelligence with Roffers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. Readers will also find:

    • A thorough introduction to practical deep learning techniques with explanations and examples for various programming libraries
    • Comprehensive explorations of a variety of applications for deep learning, including image recognition and natural language processing
    • Discussions of the theory of deep learning, neural networks, and artificial intelligence linked to concrete techniques and strategies commonly used to solve real-world problems

    Perfect for graduate students studying data science, big data, deep learning, and artificial intelligence,Deep Learning: From Big Data to Artificial Intelligence with Rwill also earn a place in the libraries of data science researchers and practicing data scientists.

    中文:

    书名:深度学习: 从大数据到人工智能与R

    深度学习

    数据科学关键主题和应用的简明实用探索

    在深度学习中: 从大数据到人工智能与R,专家研究员st phanetuff ry博士对深度学习和大数据的应用进行了有见地的讨论,重点是依赖于三个主要库的各种软件工具和深度学习方法的实用说明: MXNet,PyTorch和Keras-TensorFlow。在本书中,许多最新的示例与与现代数据科学家相关的关键主题相结合,包括处理优化,神经网络应用,自然语言处理和图像识别。

    这是一本最初以法语发行的书的彻底修订和更新的版本,其中包含了新的示例和方法。经过课堂测试和直观组织的深度学习: 从大数据到人工智能与R提供免费访问一个配套网站,该网站为书中提供的示例提供R和Python源代码。读者还会发现:

    • 全面介绍实用的深度学习技术,并提供各种编程库的解释和示例
    • 全面探索多种深度学习应用,包括图像识别和自然语言处理
    • 讨论深度学习,神经网络和人工智能的尚美 (3)理论联系到具体的技术和策略通常用于解决现实问题

    对于学习数据科学,大数据,深度学习和人工智能的研究生来说,深度学习: 从大数据到具有R的人工智能,还将在数据科学研究人员和实践数据科学家的图书馆中获得一席之地。

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