R Machine Learning Essentials

· Packt Publishing Ltd
4.3
3 reviews
Ebook
218
Pages

About this ebook

If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be helpful to have a bit of familiarity with basic object-oriented programming concepts, but no prior experience is required.

Ratings and reviews

4.3
3 reviews
AJ Fischer
July 19, 2015
Good first pass to learn machine learning in R
Did you find this helpful?

About the author

Michele Usuelli is a data scientist living in London. He has a background of and is passionate about statistics and computer science, and as part of his work, he has explored different software and tools for data analysis and machine learning, focusing on R. Always wanting to share what he learned from his projects, Michele has written some articles on R-bloggers. R connected to Hadoop and some applications of R tools are the topics covered here. Michele is passionate about cutting-edge technologies and fast-paced growing environments. Since the very beginning, his work took place in start-up environments. He started his career in one of the most innovative big data start-ups in Milan and worked for a top publishing company in the pricing and analytics division. Currently, he works for a leading R-based company.

Rate this ebook

Tell us what you think.

Reading information

Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.