if it is more detailedthen it will be more useful

update week 3 assignment. no clear instruction

have to figure out a lot of things on you own.

It could have been better with more examples.

The explanation could have been much better.

Good start but i was very boring later on.

The topics were good, but too many were d

Homeworks are inconvenient to submit

The narration was a bit boring.

дұрыс жазсамда қабылдамайды

Teacher wasn't very good

Good learing platform

very long videos

To fast paced.

dufufu

.

I didn't like the course very much, I was expecting more details in the coding part, but I only watched Mr. Collins-Thompson reading the code without making a deeper description of it, by compairing it with the two previous courses this one hasn't been as well as the others. Fortunately, I found it on free with my MOOC but if you have to pay for it, I trully recommend you to buy the Andrew Ng's course available on Coursera as well.

Finally I would like to say that this course was developed in 2017 or 2018 and it hasn't been changed or updated, you can find MANY mistakes on the labs at the end of each week, so if you're going to make the labs, I recommend you to take a look a the forums first instead of go ahead with the first ones, or maybe you're going to take 0/100 in each evaluation. So please update it, and maybe post the slides of each lesson, that will help on each exam wich are difficult for the way the lessons are taught.

Really disappointed with the course ...you may ask why??

The first thing is the instructor , super boring. The instructor (with all due respect) was very dry and the lectures were super uninteresting. When he keeps on talking code, but doesn't really explain stuff. The material and lectures were dry and colorless.

Me without having good statistics background had huge difficulties understanding the concepts. Please i recommend everyone to have good knowledge in statistics before starting the course. ABSOLUTELY NOT THE BEGINNER LEVEL AND NEITHER INTERMIDIATE LEVEL .the course is quiteeeee difficult.

You also need to have a lot of self study , which i am not a big fan of. I hope they make the course more fun rather than a man constantly talking on the screen .

I found this course quite challenging to complete. The assignments are difficult (which is good, they are practical and I enjoyed them) and only a fraction of things is explained in the videos. I really found much better learning materials around the web (and for free!). For applied machine learning course, I would expect more practical videos. Also the process of submitting assignments is really frustrating, I spent half the time correcting errors that were not related to the assignment objective. If this course was not part of specialization, I would not complete it.

Lectures are good but they expect you to extract too many fine details from them in order to pass the quizzes and assignments. You'd have to watch these oral lessons ten times in order to pass the tests, which are needlessly nitpicky.

Nice course, but from the discussions in the forums, there seems to be an issue with the grading that several users report. I see no responses from the last three month from faculty. This leave affected users (including me) blocked.

Los videos no son suficientemente extensos ni para explicar el código, ni para explicar la teoría detrás de los algoritmos, se queda a medio camino de los dos siendo insuficiente en ambos casos

The better course of this stack... and that's all the positive feedback I have. This course is still very poorly designed and unstructured with a bunch of unfixed mistakes after 4+ years.

The videos were presented at a snail's pace, I needed to play them at 1.75 speed. The python notebook assignments were full of bugs and errors which was quite frustrating.

Material hasn't been maintained or updated for years, it's full of errors and broken links. Lectures are very low quality with lots of mistakes and poor quality graphics.