Deep Learning - From Big Data to Artificial Intelligence with R

Deep Learning: From Big Data to Artificial Intelligence with R is a book that discusses the applications of deep learning and big data, focusing on practical instructions on various software tools and deep learning methods. It offers a thorough introduction to practical deep learning techniques, comprehensive explorations of applications, and discussions of the theory of deep learning, neural networks, and artificial intelligence. It is perfect for graduate students studying data science, big data, deep learning, and artificial intelligence, and will also earn a place in the libraries of data science researchers and practicing data scientists.

Format: Hardback
Length: 544 pages
Publication date: 08 December 2022
Publisher: John Wiley and Sons Ltd

Deep Learning: From Big Data to Artificial Intelligence with R is a comprehensive and hands-on guide to key topics and applications in data science. Authored by expert researcher Dr. Stéphane Tufféry, this book offers an insightful discussion of the applications of deep learning and big data, focusing on practical instructions on various software tools and deep learning methods.

The book is organized into chapters, each covering a different aspect of deep learning. It begins with an introduction to practical deep learning techniques, providing explanations and examples for various programming libraries. The next chapters delve into comprehensive explorations of a variety of applications for deep learning, such as image recognition and natural language processing. The book also discusses the theory of deep learning, neural networks, and artificial intelligence, linking these concepts to concrete techniques and strategies commonly used to solve real-world problems.

What sets this book apart is its emphasis on practicality. It provides step-by-step instructions on how to implement deep learning models using popular software tools like MXNet, PyTorch, and Keras-TensorFlow. Numerous up-to-date examples are combined with key topics relevant to modern data scientists, making the content accessible and engaging.

In addition, the book offers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. This resource is invaluable for readers who want to further explore and experiment with the techniques discussed.

Whether you are a graduate student studying data science, big data, deep learning, or artificial intelligence, or a data science researcher or practicing data scientist, Deep Learning: From Big Data to Artificial Intelligence with R is an essential resource. It will provide you with a thorough understanding of the latest techniques and applications in this field, enabling you to solve complex problems and advance your career.

Weight: 1100g
Dimension: 177 x 250 x 36 (mm)
ISBN-13: 9781119845010