Machine Learning with R Book [PDF] Download

Download the fantastic book titled Machine Learning with R written by Dominic Lordy, 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 "Machine Learning with R", which was released on 27 May 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the genre.

Summary of Machine Learning with R by Dominic Lordy PDF

***** BUY NOW (Will soon return to 25.59) ******Free eBook for customers who purchase the print book from Amazon****** Are you thinking of learning more about Machine Learning using R? If you are looking for a complete beginners guide to learn Machine Learning using R, in just a few hours, this book is for you. Machine Learning is the practice of transforming data into knowledge, and R is the most popular open-source programming language used for Machine Learning. In this book, we will learn how to use the principles of Machine Learning and the R programming language to answer day-to-day questions about your data. Finally, we'll learn how to make predictions with machine learning. From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses. To get the most out of the concepts that would be covered, readers are advised to adopt hands on approach, which would lead to better mental representations. Several Visual Illustrations and Examples Instead of tough math formulas, this book contains several graphs and images which detail all important R and Machine Learning concepts and their applications. Target Users The book designed for a variety of target audiences. The most suitable users would include: Beginners who want to approach Machine Learning, but are too afraid of complex math to start Newbies in computer science techniques and machine learning Professionals in Machine Learning and social sciences Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way Students and academicians, especially those focusing on Machine Learning What's Inside This Book? Introduction Basic Functions Linear Regression Machine Learning Algorithms Data with R Generating data Graphical functions Programming with R in Practice Opening the Black Box K-nearest Neighbors Neural Networks Trees and Forests Standard Linear Model Logistic Regression Support Vector Machine using R Frequently Asked Questions Help! I got an error, what did I do wrong? Useful References Frequently Asked Questions Q: Is this book for me and do I need programming experience? A: f you want to smash Machine Learning from scratch, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you'll be OK. Q: Can I loan this book to friends? A: Yes. Under Amazon's Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days. Q: Does this book include everything I need to become a Machine Learning expert? A: Unfortunately, no. This book is designed for readers taking their first steps in Machine Learning and further learning will be required beyond this book to master all aspects of Machine Learning. Q: Can I have a refund if this book is not fitted for me? A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email at [email protected]. If you need to see the quality of our job, AI Sciences Company offering you a free eBook in Machine Learning with Python written by the data scientist Alain Kaufmann at https: //aisciences.lpages.co/ai-sciences-data-science-with-r/


Detail About Machine Learning with R PDF

  • Author : Dominic Lordy
  • Publisher : Createspace Independent Publishing Platform
  • Genre :
  • Total Pages : 114 pages
  • ISBN : 9781720424604
  • PDF File Size : 17,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Machine Learning with R

Machine Learning with R
  • Publisher : Createspace Independent Publishing Platform
  • File Size : 45,5 Mb
  • Release Date : 27 May 2016
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***** BUY NOW (Will soon return to 25.59) ******Free eBook for customers who purchase the print book from Amazon****** Are you thinking of learning more about Machine Learning using R? If you

Machine Learning with R

Machine Learning with R
  • Publisher : Packt Publishing Ltd
  • File Size : 25,5 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

Hands-On Machine Learning with R

Hands-On Machine Learning with R
  • Publisher : CRC Press
  • File Size : 21,6 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’

Introduction to Machine Learning with R

Introduction to Machine Learning with R
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 31,8 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

Machine Learning with R

Machine Learning with R
  • Publisher : Packt Publishing Ltd
  • File Size : 41,8 Mb
  • Release Date : 29 May 2023
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Learn how to solve real-world data problems using machine learning and R Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features The 10th

Practical Machine Learning in R

Practical Machine Learning in R
  • Publisher : John Wiley & Sons
  • File Size : 52,6 Mb
  • Release Date : 27 May 2020
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Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Machine learning—a branch of Artificial Intelligence (AI) which

Deep Learning with R

Deep Learning with R
  • Publisher : Simon and Schuster
  • File Size : 49,5 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

An Introduction to Statistical Learning

An Introduction to Statistical Learning
  • Publisher : Springer Nature
  • File Size : 43,5 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

Machine Learning with R

Machine Learning with R
  • Publisher : Packt Publishing Ltd
  • File Size : 41,8 Mb
  • Release Date : 15 April 2019
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Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond Harness

Supervised Machine Learning for Text Analysis in R

Supervised Machine Learning for Text Analysis in R
  • Publisher : CRC Press
  • File Size : 44,6 Mb
  • Release Date : 22 October 2021
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Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine