[This article was first published on Intelligent Trading, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Happy New Year to all the viewers of this blog and just a short reminder that the course will be available again this January.Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
http://www.ml-class.org/course/auth/welcome
Having audited the course, I would highly recommend it to anyone who is interested in a very hands on learning session covering many of the topics I’ve posted about (and many other areas, such as how to deal with over/under fitting). Kudos to Dr. Ng for a fantastic, engaging, and informative course.
As an added incentive, users will become familiarized with many vectorized approaches to programming (via Octave), which are very useful in languages such as Python and R.
To leave a comment for the author, please follow the link and comment on their blog: Intelligent Trading.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.