Introduction to Deep Learning Using R Book [PDF] Download

Download the fantastic book titled Introduction to Deep Learning Using R written by Taweh Beysolow II, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Introduction to Deep Learning Using R", which was released on 19 July 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.

Summary of Introduction to Deep Learning Using R by Taweh Beysolow II PDF

Understand deep learning, the nuances of its different models, and where these models can be applied. The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools. What You'll Learn Understand the intuition and mathematics that power deep learning models Utilize various algorithms using the R programming language and its packages Use best practices for experimental design and variable selection Practice the methodology to approach and effectively solve problems as a data scientist Evaluate the effectiveness of algorithmic solutions and enhance their predictive power Who This Book Is For Students, researchers, and data scientists who are familiar with programming using R. This book also is also of use for those who wish to learn how to appropriately deploy these algorithms in applications where they would be most useful.


Detail About Introduction to Deep Learning Using R PDF

  • Author : Taweh Beysolow II
  • Publisher : Apress
  • Genre : Business & Economics
  • Total Pages : 240 pages
  • ISBN : 1484227344
  • PDF File Size : 17,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Introduction to Deep Learning Using R

Introduction to Deep Learning Using R
  • Publisher : Apress
  • File Size : 21,9 Mb
  • Release Date : 19 July 2017
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Understand deep learning, the nuances of its different models, and where these models can be applied. The abundance of data and demand for superior products/services have driven the development

Introduction to Machine Learning with R

Introduction to Machine Learning with R
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 20,8 Mb
  • Release Date : 07 March 2018
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Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning

Deep Learning with R

Deep Learning with R
  • Publisher : Springer
  • File Size : 35,5 Mb
  • Release Date : 13 April 2019
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Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the

Deep Learning with R

Deep Learning with R
  • Publisher : Simon and Schuster
  • File Size : 36,8 Mb
  • Release Date : 22 January 2018
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Summary Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through

Hands-On Machine Learning with R

Hands-On Machine Learning with R
  • Publisher : CRC Press
  • File Size : 26,6 Mb
  • Release Date : 07 November 2019
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Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’

An Introduction to Statistical Learning

An Introduction to Statistical Learning
  • Publisher : Springer Nature
  • File Size : 52,7 Mb
  • Release Date : 01 August 2023
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have

Deep Learning with R, Second Edition

Deep Learning with R, Second Edition
  • Publisher : Simon and Schuster
  • File Size : 53,9 Mb
  • Release Date : 13 September 2022
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Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principles Image classification

Hands-On Deep Learning with R

Hands-On Deep Learning with R
  • Publisher : Packt Publishing Ltd
  • File Size : 49,7 Mb
  • Release Date : 24 April 2020
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Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Key FeaturesUnderstand deep learning algorithms and architectures using

Neural Networks with R

Neural Networks with R
  • Publisher : Packt Publishing Ltd
  • File Size : 40,9 Mb
  • Release Date : 27 September 2017
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Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to implement them in your

Machine Learning with R

Machine Learning with R
  • Publisher : Packt Publishing Ltd
  • File Size : 50,6 Mb
  • Release Date : 25 October 2013
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Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very