I got them for free on Coursera. It’s just that you have to finish them quickly in the span of two to three months. Since I skipped ML and went directly with DL (ANNs), I have some gap in my mind, especially on statistical techniques.
@yogthos@velox_vulnus No one asked so I apologize for interjecting 🙈 but Harvard’s CS181 course has a lot of good material free online I think. I strongly recommend those problem sets to get into the parts of stats most relevant to ML.
STAT110 is also online with even more material I think but is way more general and non programming-y.
I’ve watched some of his lectures online. Truly an amazing teacher. Little what I know about machine learning and deep learning comes from him.
Indeed, I took his ML course on coursera a while back and it was great.
I got them for free on Coursera. It’s just that you have to finish them quickly in the span of two to three months. Since I skipped ML and went directly with DL (ANNs), I have some gap in my mind, especially on statistical techniques.
Yeah, my stats knowledge is somewhat weak as well, but the course at least gave me some foundation for understanding how this stuff works.
@yogthos @velox_vulnus No one asked so I apologize for interjecting 🙈 but Harvard’s CS181 course has a lot of good material free online I think. I strongly recommend those problem sets to get into the parts of stats most relevant to ML.
STAT110 is also online with even more material I think but is way more general and non programming-y.
Thanks for the heads up, it’s really great that universities are starting to put up these courses for free now.