学生对 Google 云端平台 提供的 Launching into Machine Learning 的评价和反馈

Too much content for just one week. Exercises solved and not made for students to resolve them. Suggesting more complicated tasks is not teaching.

I could only sustain it because I have completed basic ML courses earlier. Too many tech concepts & jargons overloaded in a very short time.

Learning the approach was very valuable. The exercises were just copy and paste of a bunch of code that it isn't expect we understand.

It felt too hard. I liked because it gives a very good idea but the concept was too hard especially with the math involved

This course is just ok. It is not interactive and I don't feel that I learned much when compared with other ML courses.

The course is good, but I missed the hands on part. You really do not need to code. That should be changed.

not enough practical content such as types of machine learning and different algorithms to be used etc

In the labs, I kept getting disconnected from the Jupyter notebooks, and had to keep reloading them.

Course includes good presentation material which unfortunately is not available to download.

If you already know ML there isn't much in this course that will be value addition for you.

The course is very well explained, but I was already aware of most subjects.

There is a little more content here than in the 1st course.

Please add more content, don't make it just intro types

Talked too much...more practical example step by step

A bit difficult when introducing the ML history

quiet difficult to undertand

It's not much helpful

Very Basic again

thank you

The course content is fine. My big beef is with the last lab. Does not, will not run on loading the data. I experienced so much trouble that I looked into some guidance with the answer video. A character by character exact copy of the solution will not run to load the data. Total waste of time.

Yes, I realize that I was "cheating" by using the solution as my input to the lab. But after having tried (and failing miserably) to get the answer on my own, and not even being able to get past the very first hurdle, I had to try to get something working. I soon found that it wasn't just my lack of experience, since the provided solution did not work either.

Google has clearly put a great deal of effort into constructing and polishing this course. However, the certificate is really nothing more than a participation trophy. I understand that putting the course materials (videos, demos, etc.) are time-consuming. An exceptional course, though, needs to actually test that the learner has, indeed, learned. When all of the labs/assignments require nothing more than clicking through them, they fall far short in this respect.

The instructors were talking most of the time in a monotonous way without showing proper slides or elaborating the materials. Overall it was a very poor introduction of the ML. The two labs were good, however it was surprising to me that they did not commented out the notebook codes!

Maths and ML stuff are explained very poorly... very rushed and people speaking are clearly reading from a script which makes it difficult to understand and follow on =

instructor more plain and hard to hear so many math concepts just with words not visual enough, seems like instrctor is not breaking it down like the first course.

The LABs in this course did not work for me. I was not able to open DataLab in my Lab sessions. This is quite frustrating to me.