MB
Dec 31, 2018
thanks for the great work. There is so much to learn and I appreciate the effort you made to break things down and providing lab while making the hard decisions on what to commit.
MK
Jun 7, 2020
This course is so really good to learn about the general knowledge and skill of Data Science like optimization batch or regularization and so on with Google Cloud Platform.
By Carlos V M
•Jul 2, 2018
Excellent Course, in the Art and Science of Machine Learning, I quite enjoyed the Hyperparameter tuning in the Cloud and all the advanced tips to improve the models performance, thanks Coursera and Google
By Robert L
•Apr 7, 2020
Sufficient theory to understand the basis of the ML approach with practical insights to help get started with building models
By Vishal K
•Jul 15, 2018
Nice course however I think it suits folks who have good exposure of ML to take complete advantage of the techniques
By Yuan L
•Apr 18, 2021
Great content. The course would be better if all the labs are up to date and include all necessary setup scripts.
By Phillip
•Aug 17, 2020
The course is difficult. You may need to review some sections because off the amount of information.
By Manish G
•Jul 30, 2019
The course is quite good and have balance of theory and labs. It is useful course for beginners.
By Phac L T
•Aug 1, 2018
It would be nice to have more complex datasets where predictions would be more meaningful.
By Oleg O
•Oct 20, 2018
Very good course, but probably requires some more hand-on practice
By Joel M
•Dec 12, 2018
good lessons and in depth coverage of a range of issues
By Hugo H
•Apr 3, 2020
Good course, pragmatic and full of practical exercises
By Attila B
•Dec 20, 2018
Really good course with a lot of practical examples.
By Pratik S
•Oct 21, 2019
complete hyper parameters is given in lab
By Ruslan A
•Aug 16, 2019
Many notebooks contain some typo/erros.
By Wang Y
•Oct 29, 2018
best course in the specialization!!!
By Gaurav B
•Feb 13, 2020
I was looking for more hands-on.
By Sarwar A
•Feb 23, 2021
Good course overall
By Swaraj P
•Mar 10, 2019
Nice tutorial
By Xenon
•Nov 11, 2022
Excellent !
By KyeongUk J
•Oct 28, 2018
great
By Matthew B
•Jun 29, 2019
Labs were very confusing. Explained theories well but in practice didn't really learn much. I wouldn't recommend if you're a beginner. Google has a very interesting way on teaching.... On that note they should stick to building tech, never teaching. Didn't really learn how to build anything in ML, sort of skimmed on some API's they offer. In reality, the first course was probably the best... The rest of the specialization was just a rinse and repeat sort of thing.
By Bhargav D
•Apr 26, 2020
Great course must should make labs compulsory and not provide solution it takes away the fun of thinking.
By Siddharth A
•Nov 10, 2018
I felt that hand-on or explanation was not sufficient. Coverage is good.
By Alberto C
•Oct 23, 2018
There are some lessons where the concepts are exposed in a too fast way
By Rahul K
•May 5, 2019
Some tough concepts !!!
By Yakov F
•Oct 18, 2022
All eight labs had defects/ bugs. In four (4) labs the defects prevented me from completing the labs. There was no waiting to contact Google cloud support by chat, but the best the representative was able to do was to give Coursera credit for the unfinished lab, rather than to help find and fix the defect in the lab.