Machine learning is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machine learning has become a mainstream business process, and tools like the easy-to-learn R programming language put high-quality data analysis in the hands of any programmer. Machine Learning with R, tidyverse, and mlr teaches you widely used ML techniques and how to apply them to your own datasets using the R programming language and its powerful ecosystem of tools. This book will get you started! If you want to learn more about the book, follow the link: http://bit.ly/2FxH9IO

1. Machine
Learning from
the Ground up
With Machine Learning with R,
tidyverse, and mlr. Take 42% off by
entering slrhys into the discount
code box at checkout at
manning.com.

2. Discover machine learning
Do you have some skill with R,
Python or another standard
programming language?
Interested in machine learning?
Machine Learning with R, tidyverse,
and mlr teaches you widely used
ML techniques and how to apply
them to your own datasets using
the R programming language and
its powerful ecosystem of tools.
Traditional AI vs. Machine Learning

3. An approachable introduction
Machine Learning with R, tidyverse,
and mlr teaches you how to gain
valuable insights from your data
using the powerful R programming
language.
Whether you’re tackling business
problems, crunching research data,
or just a data-minded developer,
you’ll be building your own ML
pipelines in no time with this hands-
on tutorial!
An algorithm for cake

4. Hands-on learning
You’ll delve into machine learning
and the R language (with its
ecosystem of tools) through
engaging exercises and examples,
designed to help you retain what
you’re learning by using it in a
practical manner right away.
If you’re looking to add something
hot to your resume, look no
further!

5. About the author
Hefin Ioan Rhys is a senior
laboratory research scientist in the
Flow Cytometry Shared Technology
Platform at The Francis Crick
Institute. He spent the final year of
his PhD program teaching basic R
skills at the university.
A data science and machine
learning enthusiast, he has his own
Youtube channel featuring
screencast tutorials in R and R
Studio.
Supervised vs. unsupervised algorithm

6. If you want to learn
more about the book,
check it out on liveBook
here.
Take 42% off Machine Learning
with R, tidyverse, and mlr by
entering slrhys into the discount
code box at checkout at
manning.com.