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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

4.6
1,313 個評分
114 條評論

課程概述

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....

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MB
2018年12月30日

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
2020年6月6日

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.

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101 - Art and Science of Machine Learning 的 113 個評論(共 113 個)

創建者 Swaraj P

2019年3月10日

Nice tutorial

創建者 KyeongUk J

2018年10月28日

great

創建者 Matthew B

2019年6月29日

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

2020年4月26日

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

創建者 Siddharth A

2018年11月9日

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

創建者 Alberto C

2018年10月23日

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

創建者 Rahul K

2019年5月5日

Some tough concepts !!!

創建者 Pablo I F

2020年8月5日

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

2019年6月22日

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

2019年4月11日

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

2020年8月13日

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

2019年12月29日

Very redundant and superficial.

創建者 man c y

2019年6月26日

poor labs