I just worked through this course (excluding the final project) over a couple of days. I agree with the other review that the paid version could be a … Read more

I've had plenty (cough) of time to forget the basic statistical inference I did at high school. This was a great refresher (if a little repetitive - h… Read more

Prof Ng simplifies ML as much as possible - and no more. In the complex arena of ML, that still leaves things fairly complex... But thanks to this cou… Read more

Impressions based on five (of 13) weeks materials: with a couple of caveats, this looks set to be a good intro to statistics, and particularly for get… Read more

Probably the gentlest introduction to programming for adults possible - so especially suitable for someone who feels a bit intimidated by computers &… Read more

A painful, dull offline course on plotting & clustering in R slapped online with minimal conversion like the rest of JHU's execrable Data Science spec… Read more

Based on module 1 (of 4) pros:
- pretty well-explained despite quite complex subject matter
- quiz 1 was reasonable in difficulty
- … Read more

Based on first week: a little rough around the edges (no slides, quizzes timed, for no apparent reason) & not in itself a great way to learn AP (or UK… Read more

Good book, terrible MOOC.
First of all: huge kudos to Hastie and Tibshirani for their contributions to the field, and making their seminal books… Read more

Good course - comparable to the same professors' IIPP, but a little rougher round the edges - with a fairly challenging final project. One weakness … Read more

Pros:
- very clear, engaging lectures delivered by Prof Witten
- interesting data sets and quizzes
- practical emphasis course on *d… Read more

This is a well-crafted, fast-paced introduction to Computer Science, though a little dry at times. I think it's based on the introductory 'CS for non … Read more

Now finished, I remain torn about this course. But I've bumped it up to four stars.

Positives:
- using Python
- having to us… Read more

Applied regression courses are thin on the ground. And this course promises a follow up focusing on logistic regression. So despite misgivings about u… Read more

Finished this. Got a distinction. Hated it. One reason was it's simply badly designed: going from lecture, via (frankly perfunctory, "oh, we need to g… Read more

I went through 95%* of this in about 8-9 hours total. It's... so so. A bit of a whistle stop tour of html & CSS, which left me feeling like I'd got it… Read more

I started Udacity's CS253* recently & about 1/3 of the way in realised: 'I need some way to keep all these different files synchronised or my tiny bra… Read more

Another well thought-out Weka course from Waikato covering further areas of data mining (association rules, clustering, text classification, cost-sens… Read more

To quote Wikipedia "OCaml unifies functional, imperative, and object-oriented programming under an ML-like type system. Thus, programmers need not be … Read more