Amazing course. For a beginner like me, it was a shot in the arm. Excellent presentation very lively and engaging. Hope to see the instructor soon in a another course. Thanks so much. I learned a lot.
This is an awesome module. It will open up so much inside story of ML process which is core of the topic with such a simplicity. It greatly increases my interest into this topic and this course :)
The course is ok. Several complicated concepts are expected to be known, other very easy ones are explained in detail. However in some phases too high level, I am definitely missing some course resources to work with.
Was hoping for more hands-on experience.
par Venkata S S G•
good course. but it is just like an intro regarding how to use google cloud platform. but theory part was decent. can give it a try. but lectures were really indulging
par Matthew R•
Some good material here, but at times it feels like an ad for GCP. And the labs are not very inventive. You just run a python notebook with canned stuff in them.
par Anand H•
While the concepts covered were good and very valuable, I didn't like the lab sessions. Just having to walk through code is not a good way to get hands-on.
par José C L A•
Too much content for just one week. Exercises solved and not made for students to resolve them. Suggesting more complicated tasks is not teaching.
par Anupam S•
I could only sustain it because I have completed basic ML courses earlier. Too many tech concepts & jargons overloaded in a very short time.
par David N•
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.
par Nour L•
It felt too hard. I liked because it gives a very good idea but the concept was too hard especially with the math involved
par Cooper C•
This course is just ok. It is not interactive and I don't feel that I learned much when compared with other ML courses.
par Nils W•
The course is good, but I missed the hands on part. You really do not need to code. That should be changed.
par Pravin A J D•
not enough practical content such as types of machine learning and different algorithms to be used etc
par Srinivasan D•
In the labs, I kept getting disconnected from the Jupyter notebooks, and had to keep reloading them.
par Jon B•
Course includes good presentation material which unfortunately is not available to download.
par Aseem B•
If you already know ML there isn't much in this course that will be value addition for you.
par Fabrizio F•
The course is very well explained, but I was already aware of most subjects.
par Kevin C•
There is a little more content here than in the 1st course.
par Prateek D•
Please add more content, don't make it just intro types
par Manuele I•
Talked too much...more practical example step by step
par Shawn W•
A bit difficult when introducing the ML history
par vishnu p T•
quiet difficult to undertand
par Saurav K•
It's not much helpful
par Vinit K•
Very Basic again
par Edward H•
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.
par Brennon B•
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.