Awful class. I have taken a few ML/DL lessons from Coursera and this is by far one of the worst presentation on ML. The videos are painful to watch, the content is incoherent, the quizzes are poorly constructed. Everything about this class is just substandard. If you are interested in ML in finance, just audit this class, and download the Jupyter notebook to see example code and key concepts. The videos are pure waste of time.

As much as I was impressed by the first two courses, this one has been a huge disappointment. The material is not taught in an accessible manner, there are literally not explanations of the python code and despite having completed the first two instalments, this one felt like a huge step-change in what is required. These are complex topics and it is key to explain them in a simple, comprehensible way, not in a complicated manner.

This course was the worst course that I have taken on the coursera platform. The videos were rambling, that only gave incomplete overviews of the theory of machine learning. There was very little instruction on actually building machine learnings model in python. The code examples provided were buggy and insufficiently explained for such a complex subject

I was really hopeful and looking forward to another great course after experiencing the first two MOOCs in this specialization. I have to say that between the extremely ambiguous questions in the videos as well as in the exams and the extreme lack of detail in explaining any of the code, I have never seen a more disappointing course.

Unfortunately this course felt like a beta / first version especially when compared to the first 2 courses in the specialization. The quizzes are particularly frustrating and the Labs could be better integrated with the theoretical material.

I would still strongly recommend the specialization.

The first course of this specialisation was excellent. Lab sessions and python notebooks very well explained. Second course was a little worse but still good enough. This course is not good. Most of the Video lab sessions are terrible.

Quality of lab sessions was consistently and significantly poorer than the first 2 courses. Outputs were not consistent with what was discussed in the lectures. Got different results from that shown in lectures.

very hard to follow the lab. The material is soooo jumpy logically. It start with intro python in the first slide and jump to complicated functions in the later slides. It never walk novices through the steps.

Disappointed with the quality of this course. No depth in using Machine Learning for Asset Management. Lesson and lab sessions are poorly put together. No quality control. Waste of time and money.

Very bad course for machine learning application part. Feel like I've learned nothing. The lab session has no explanation for the details of ML techinques.

Very low explanation of function and code although the lab part is the most interesting and most important in my view. MOOC1 and 2 were better on this.

If you just want to hear some machine learning jargon, you'll find this course useful. But, don't expect to "learn" anything.

T​he course is not well made. It is like many pieces just put together no coherence. Not a very useful course.

1) poor explanations, few examples, bad audio quality... I was about to give up because of this 3rd course...

Worst course in the all specialization! Bad lectures, and absolutely bad grading system.

Very disappointed!

Quiz section is totally incoherent with lectures provided. Sorry!!

Very bad. Previous 2 courses was amazing, but this is a strange.

This course is real true bull shit!

i didnt like it...