Internet, 2016. — 200 p. — ASIN: B01D0PJMCIWho Else Wants to Learn from Data the Easy Way? Start building smarter models today using R!
Master Learning from Data with this fun, practical, hands on guide.
This book provides an accessible, hands on easy to follow guide to building machine learning models. It explains what learning from data is all about, why it should be part of your data science toolkit, and how to exploit it in your own research. It is designed for anyone who wishes to gain a practical understanding of the important modeling and prediction techniques that make up the increasingly lucrative discipline of data science.No Experience Required: Bestselling data scientist Dr. N. D Lewis cuts a clear path through the jargon, opening the way for you to discover, understand, apply and exploit the potential of data science in your own research. Everything you need to get started is contained within this book. If you want to accelerate your progress, discover the best in data science and act on what you have learned, this book is the place to get started.You'll Learn How To:
Explore, evaluate and exploit the core types of learning.
Unleash the power of supervised learning.
Design successful solutions with semi-supervised learning.
Ignite your use of unsupervised learning.
Stimulate your own ideas and help you innovate new solutionsThis hands on text is for individuals who want to master the subject in the minimum amount of time. It leverages the power of the FREE predictive analytic package R to provide you with the necessary tools to maximize your understanding, deepen your knowledge and unleash ideas to enhance your data science projects.This Book is For You is For You if You Want:
Real world applications that make sense.
Examples to stimulate your thinking.
Illustrations to deepen your understanding.
Worked examples in R you can easily follow and immediately implement.
Ideas you can actually use.Learning from Data Made Easy with R is your very own hands on practical, tactical, easy to follow guide to mastery. This is an exciting time to be involved in data science.
