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.
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.
創建者 Somaiya J G•
創建者 Gustavo M•
創建者 Phạm V T•
創建者 Manish K•
創建者 MOHD N B A L•
創建者 Dr. P S J•
創建者 Balasubramanian T K•
創建者 AMARTHALURU N K•
創建者 Abedi Z•
創建者 Fathima j•
創建者 Bielushkin M•
創建者 Atichat P•
創建者 Fuat A•
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.
創建者 Carlos V•
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
創建者 Robert L•
Sufficient theory to understand the basis of the ML approach with practical insights to help get started with building models
創建者 Vishal K•
Nice course however I think it suits folks who have good exposure of ML to take complete advantage of the techniques
The course is difficult. You may need to review some sections because off the amount of information.
創建者 Manish G•
The course is quite good and have balance of theory and labs. It is useful course for beginners.
創建者 Phac L T•
It would be nice to have more complex datasets where predictions would be more meaningful.
創建者 Oleg O•
Very good course, but probably requires some more hand-on practice
創建者 Joel M•
good lessons and in depth coverage of a range of issues
創建者 HUGO H•
Good course, pragmatic and full of practical exercises
創建者 Attila B•
Really good course with a lot of practical examples.
創建者 Pratik S•
complete hyper parameters is given in lab
創建者 Ruslan A•
Many notebooks contain some typo/erros.