Free online data mining and machine learning courses by Stanford University

by Yanchang Zhao, RDataMining.com

Three free online data mining and machine learning courses lectured by professors at Stanford University started in past two weeks, which provide excellent opportunities to learn advanced data mining and machine learning techniques. If you are interested, be quick to join and they are still open.

1. Machine Learning
Start: Jan 19, 2015
End: Apr 20, 2015
Instructor: Andrew Ng, Stanford University
URL: https://www.coursera.org/course/ml

2. Mining Massive Datasets
Start: Jan 31, 2015
End: Mar 25, 2015
Instructors: Jure Leskovec, Anand Rajaraman and Jeff Ullman, Stanford University
URL: https://www.coursera.org/course/mmds

3. Statistical Learning (with R)
Start: Jan 20, 2015
End: Apr 5, 2015
Instructors: Prof. Trevor Hastie, Prof. Rob Tibshirani, Stanford University
URL: https://class.stanford.edu/courses/HumanitiesandScience/StatLearning/Winter2015/about

Visit RDataMining.com for more news on free online courses and webinars on data mining and analytics.

Advertisements

About Yanchang Zhao

I am a data scientist, using R for data mining applications. My work on R and data mining: RDataMining.com; Twitter; Group on Linkedin; and Group on Google.
This entry was posted in Big Data, Data Mining, R and tagged , , . Bookmark the permalink.

2 Responses to Free online data mining and machine learning courses by Stanford University

  1. Pingback: Free online data mining and machine learning courses by Stanford University | Mubashir Qasim

  2. sindhu says:

    i want to learn data mining

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s