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學生對 Google 云端平台 提供的 Art and Science of Machine Learning 的評價和反饋

1,362 個評分
119 條評論


Welcome to the Art and Science of machine learning. This course is delivered in 6 modules. The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. You will learn how to generalize your model using Regularization techniques and about the effects of hyperparameters such as batch size and learning rate on model performance. We’ll cover some of the most common model optimization algorithms and show you how to specify an optimization method in your TensorFlow code....



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.


101 - Art and Science of Machine Learning 的 118 個評論(共 118 個)

創建者 Pratik S


complete hyper parameters is given in lab

創建者 Ruslan A


Many notebooks contain some typo/erros.

創建者 Wang Y


best course in the specialization!!!

創建者 Gaurav B


I was looking for more hands-on.

創建者 Sarwar A


Good course overall

創建者 Swaraj P


Nice tutorial

創建者 KyeongUk J



創建者 Matthew B


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.

創建者 Bhargav D


Great course must should make labs compulsory and not provide solution it takes away the fun of thinking.

創建者 Siddharth A


I felt that hand-on or explanation was not sufficient. Coverage is good.

創建者 Alberto C


There are some lessons where the concepts are exposed in a too fast way

創建者 Rahul K


Some tough concepts !!!

創建者 Pablo I F


Very bad english subtitles. For non-english speakers, the subtitles doesn't help, but it confuse what the teacher is explaining. It takes me a lot of time to understand some parts of the course

創建者 Mike W


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.

創建者 Arman A


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.

創建者 Mohannad B


A lot of inaccurate data, please check deep learning ai specialization for more accurate info. this is good for introducing you to GCP not the concepts of AI

創建者 Radha M K V


Very redundant and superficial.

創建者 man c y


poor labs