OD
May 30, 2020
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.
PT
Dec 1, 2018
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 Soroosh R
•Feb 15, 2019
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!
By Ragy I
•Mar 19, 2019
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 =
By Ronnie R
•May 22, 2018
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.
By Anton R
•Mar 11, 2022
At least make sure that all quiz questions have been mentioned in the course materials.
stochastic gradient descent is ONLY in the quizzes...
By Srikar K
•May 1, 2018
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.
By Sean S
•Jan 27, 2019
The labs really just lay everything out for you, and don't challenge you to learn anything for yourself.
By Kevin D B
•Sep 16, 2019
It's covering a lot but brushing over things too quickly and using a ton of jargon.
By Sebastian R
•Oct 19, 2019
Weak: Long on telling you how great google is, short on technical skills.
By Johny C
•Jun 29, 2020
These are plain lectures. Ng's are way better.
By Thomas V
•Nov 15, 2018
No real implementation
By Francesco C
•Jul 12, 2018
labs not really useful
By Ligeng X
•Nov 9, 2018
Barely learn anything
By Yaron K
•Jul 14, 2018
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
•Aug 16, 2019
"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
•Jun 22, 2019
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
•Apr 11, 2019
Pros: Tensorflow is an excellent framework for deep learning
Cons :
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
•Feb 17, 2019
I'm not able to access the video lectures even though I purchased and completed this course 6 months back
By Diretnan D
•Nov 5, 2018
Too much scary information provided at once combined with the mindbending sql queries and data parsing
By Ehsan F
•Nov 13, 2018
This is the most superficial course I have ever taken. I just waisted my time.
By Chi S S
•Sep 1, 2018
Did not learn much! Poorly instructed courses.
By Karim E
•Aug 8, 2018
not well structured and lack handouts
By sasidhar m
•Jul 16, 2018
No hands on learning.