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 :)
By Francesco C•
labs not really useful
By Ligeng X•
Barely learn anything
By Nathaniel T•
Although there are engaging lectures, they skip over all interesting technical detail to focus on philosophy (and of course lauding Google). Philosophy of data analysis is all good and well, but there is no technical instruction to go with it. Quizzes and labs stress technical details for which there is no instruction. Readings are a hodge-podge of unlabelled links with no prioritization or curation.
Labs take 15 mintues to start up, and then have 1-2 hour timeouts, at the end of which you lose all work you have done. There is little to no instruction in the labs: the only way to do them is either already understand what their topics (making them pointeless) or to quickly google up answers to technical questions, and blindly run functions (which is also pointless).
I have no idea how this course sequence was ever rated as an interesting one for qualification.
By Yaron K•
It's unclear for who this course is meant. It mixes basics like train-validate-test with lectures that use machine learning terms that only have meaning to someone who has already knows ML terminology. If you're looking for a good introduction to ML - check out Andrew Ng's course.
By David S•
"Short History of ML" was good, if kind of light. The rest of this course is flaming garbage. Zero topic organization. Material is poorly explained. Labs are poorly detailed and in some cases don't work out of the box. Seriously, skip this course and take Andrew Ng's instead.
By Mike W•
The notebook based demos are unfortunately pretty useless as labs. All of these courses would be much improved with real labs that require the student to build the system.
By Arman A•
Pros: Tensorflow is an excellent framework for deep learning
1- The way this material is designed is 10 X SHIT
2- Either teach properly or don't teach at all.
By Praveen K M•
I'm not able to access the video lectures even though I purchased and completed this course 6 months back
By Diretnan D•
Too much scary information provided at once combined with the mindbending sql queries and data parsing
By Ehsan F•
This is the most superficial course I have ever taken. I just waisted my time.
By Chi S S•
Did not learn much! Poorly instructed courses.
By Karim E•
not well structured and lack handouts
By sasidhar m•
No hands on learning.
By Avula A•
i cant un enroll