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R Deep Learning Projects: Master the techniques to design and develop neural network models in R Paperback – Import, 22 Feb 2018


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Product description

About the Author

Yuxi (Hayden) Liu is currently an applied research scientist focused on developing machine learning models and systems for given learning tasks. He has worked for a few years as a data scientist, and applied his machine learning expertise in computational advertising. He earned his degree from the University of Toronto, and published five first-authored IEEE transaction and conference papers during his research. His first book, titled Python Machine Learning By Example, was ranked the #1 bestseller in Amazon India in 2017. He is also a machine learning education enthusiast. Pablo Maldonado is an applied mathematician and data scientist with a taste for software development since his days of programming BASIC on a Tandy 1000. As an academic and business consultant, he spends a great deal of his time building applied artificial intelligence solutions for text analytics, sensor and transactional data, and reinforcement learning. Pablo earned his PhD in applied mathematics (with focus on mathematical game theory) at the Universite Pierre et Marie Curie in Paris, France.

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Product details

  • Paperback: 258 pages
  • Publisher: Packt Publishing Limited (22 February 2018)
  • Language: English
  • ISBN-10: 1788478401
  • ISBN-13: 978-1788478403
  • Product Dimensions: 19 x 1.5 x 23.5 cm
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #1,55,671 in Books (See Top 100 in Books)
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Amazon.com: 5.0 out of 5 stars 3 reviews
epictitus
5.0 out of 5 starsreal world applicability
8 December 2018 - Published on Amazon.com
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Andrii
5.0 out of 5 stars"R Deep Learning Projects" is a detailed guide to design and develop a deep neural network models in R
26 April 2018 - Published on Amazon.com
A. Albert
5.0 out of 5 starsbut so far it is a good read.
18 March 2018 - Published on Amazon.com