Go to machine learning.

#Go to machine learning Hey guys, we have finished EdX online StatX2.1, StatX2.2 from Berkeley, and now we are diving into StatX2.3. That’s a great achievement.

Since we are going to be prepared with a good amount of statistics knowledge, I think it will be reasonable to move to next Data Science course. Here we go, Machine learning course!!
Following are three online courses that might be worth to look at.

Resources:

• Coursera: Machine Learning, Andrew Ng, Stanford University.
• Udacity: Intro to Machine Learning, Sebastian Thrun, Stanford University.
• Stanford Online: Statistical Learning, Trevor Hastie & Rob Tibshirani, Stanford University.

Apparently, in ML field, Stanford University rules.
I did a very quick taste with all these three courses. For each of them, the one sentence summary, which might be very subjective, is –

• Coursera course is very much tutor-to-student like course, and it covers a lot.
• Udacity course is very organized and well prepared, but it is less extensive.
• Stanford online course, is just as a serious university course, and it has very extensive content, plus two experienced professor prepared it.

I feel that we will be easily attracted and enjoying Udacity’s course, but I think from Stanford Online, we will get much more serious training, especially with our group studying.