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.

Teacher wasn't very good

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.

This course is outdated by few years and not been updated in general with lots of mistakes in assignments and on slides making it very not ejoyable to use.

Not as good as prev. courses. Univ. of mic. should update or get ride of this module

Good curriculumn, nice assignments. Very poorly presented by the professor!!!

I'm sorry to hear that, but if you accidentally delete your assignment, it's important to understand that there is no way to restore it. Unfortunately, even customer service won't be able to assist you in retrieving your lost work.

It's crucial to always keep backups of your work to avoid any potential disasters. Deleting important files can happen to anyone, but it's up to us to take preventative measures to ensure that our work is safe and secure.

In summary, losing an assignment due to accidental deletion can be a frustrating and disappointing experience. However, it's important to learn from this mistake and take the necessary precautions to avoid similar situations in the future.

Frankly the quiz questions are ridiculous and no explanation is given why answers are considered incorrect. The wording of the answers is not clear and any from 5 is 120 permutations. You get three attempts and then you have to wait 8 hours. Not great if you are studying part-time. I gave a star for the quality of the video which seemed good although I already know the theory from my university course. However, there was no written material - which again helps answer the questions. This is only a coursera courses, tests should be there to help learning not hinder it.

While I really appreciated the preceding courses, the topics in this course where poorly explained. The quizzes where not helpful at all and annoying.

Also, there was no support at all in the forum. Particularly when there are errors in the notebooks, I would expect support from the staff.