Machine Learning with R: Step by Step Guide for Newbies

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. We’ll learn about the practice of Machine Learning and the R programming language. Then, we’ll learn how to work with data to create descriptive statistics and statistical models. 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].

Table of Contents

Introduction
Basic Functions
Machine Learning Algorithms
Data with R
Graphics with R
Programming with R in Practice
Opening the Black Box
Tool you Already Have
Unsupervised Learning
Frequently Asked Questions
Conclusion
Thank you !
Useful References

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