Comentários e feedback de alunos de Art and Science of Machine Learning da instituição Google Cloud
Sobre o curso
Melhores avaliações
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.
Jun 07, 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.
76 — 100 de 110 Avaliações para o Art and Science of Machine Learning
por Dr. P S J
•Jul 25, 2020
good
por Balasubramanian T K
•Apr 13, 2020
Nice
por AMARTHALURU N K
•Dec 03, 2019
good
por Mirza S B
•Sep 18, 2019
good
por Fathima j
•May 11, 2019
good
por Bielushkin M
•Nov 23, 2018
nice
por Atichat P
•Jun 04, 2018
Good
por Fuat A
•Mar 20, 2020
Google provided with me an opportunity to take the specialization for free. Many thanks.
Just a comment: Labs were great. But, it takes long when i needed to start a lab, i.e. Opening a Google account every time and starting a vm. So, it would be great if i could use the same vm for more than one lab assignment.
por Carlos V
•Jul 02, 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
por Robert L
•Apr 07, 2020
Sufficient theory to understand the basis of the ML approach with practical insights to help get started with building models
por 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
por Phillip
•Aug 17, 2020
The course is difficult. You may need to review some sections because off the amount of information.
por Manish G
•Jul 30, 2019
The course is quite good and have balance of theory and labs. It is useful course for beginners.
por Phac L T
•Aug 01, 2018
It would be nice to have more complex datasets where predictions would be more meaningful.
por Oleg O
•Oct 20, 2018
Very good course, but probably requires some more hand-on practice
por Joel M
•Dec 12, 2018
good lessons and in depth coverage of a range of issues
por HUGO H
•Apr 03, 2020
Good course, pragmatic and full of practical exercises
por Attila B
•Dec 20, 2018
Really good course with a lot of practical examples.
por Pratik S
•Oct 21, 2019
complete hyper parameters is given in lab
por Ruslan A
•Aug 16, 2019
Many notebooks contain some typo/erros.
por Wang Y
•Oct 29, 2018
best course in the specialization!!!
por GAURAV B
•Feb 13, 2020
I was looking for more hands-on.
por Swaraj P
•Mar 10, 2019
Nice tutorial
por KyeongUk J
•Oct 28, 2018
great
por 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.
