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学生对 Google 云端平台 提供的 Art and Science of Machine Learning 的评价和反馈

995 个评分
84 条评论


Welcome to the art and science of machine learning. In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance. In this course you will learn the many knobs and levers involved in training a model. You will first manually adjust them to see their effects on model performance. Once familiar with the knobs and levers, otherwise known as hyperparameters, you will learn how to tune them in an automatic way using Cloud Machine Learning Engine on Google Cloud Platform....



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.


May 30, 2018

This final course is also very good. Embedding is my favorite part and Lak is my favorite instructor.\n\nThanks Googlers! Looking forward to the next five courses.


51 - Art and Science of Machine Learning 的 75 个评论(共 83 个)

创建者 영신 박

Apr 29, 2019


创建者 Serhan A

Jun 05, 2018


创建者 Naman M

Aug 19, 2019


创建者 Somaiya J G

Nov 14, 2018


创建者 Gustavo M

Aug 17, 2018


创建者 Manish K

Aug 28, 2019



Dec 03, 2019


创建者 Mirza s n

Sep 18, 2019


创建者 Fathima j

May 11, 2019


创建者 Bielushkin M

Nov 23, 2018


创建者 Atichat P

Jun 04, 2018


创建者 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

创建者 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

创建者 Manish G

Jul 30, 2019

The course is quite good and have balance of theory and labs. It is useful course for beginners.

创建者 Phac L T

Aug 01, 2018

It would be nice to have more complex datasets where predictions would be more meaningful.

创建者 Oleg O

Oct 20, 2018

Very good course, but probably requires some more hand-on practice

创建者 Joel M

Dec 12, 2018

good lessons and in depth coverage of a range of issues

创建者 Attila B

Dec 20, 2018

Really good course with a lot of practical examples.

创建者 Pratik S

Oct 21, 2019

complete hyper parameters is given in lab

创建者 Ruslan A

Aug 16, 2019

Many notebooks contain some typo/erros.

创建者 Wang Y

Oct 29, 2018

best course in the specialization!!!

创建者 Swaraj P

Mar 10, 2019

Nice tutorial

创建者 KyeongUk J

Oct 28, 2018


创建者 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.

创建者 Cooper C

Jan 22, 2020

My feeling is that this entire specialization is a glorified demonstration of what GCP can do with ML. The labs are not interactive and in some cases did not work. I don't feel that I have learned anything new. If I were to use GCP for ML purposes, I would need additional training to do it. I don't recommend this specialization