For an undergrad student of computer science, this course provides great insights into the world of astrophysics and how machine learning can be applied to solve some of the greatest mysteries of the universe.

nice starting point for graduate students or senior undergraduate students who want to dig deeper in this direction

This course was walk in the park in comparison to the other ones in the specialization. However, it would not be so if I did not complete all of the previous ones. Non-perfect score goes because I think that practical assignments should be better explained like: "do some feature engineering", "feel free to use any models", etc.

FUN !!!!

A challenging ML course for practitioners and researchers to put their abilities to the test. Could have enjoyed a bit more (possibly optional) explanation about the underlying physics.

Some assignments are too abstract and difficult to get through without external help

The course material is quite brief and introductive for particle physics, with only a few interesting machine learning tricks. Meanwhile, the assignments are less prepared even misguided, either need blindly tuning sklearn optimizer or heavily dependent on feature engineering, which are not related to the core knowledge of the session. From my point of view, this course is not as good as the other ones in this great machine learning specialization.