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Opiniones y comentarios de aprendices correspondientes a Art and Science of Machine Learning por parte de Google Cloud

4.6
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1,385 calificaciones
119 reseña

Acerca del Curso

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....

Principales reseñas

MB
30 de dic. de 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.

MK
6 de jun. de 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.

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101 - 118 de 118 revisiones para Art and Science of Machine Learning

por Pratik S

21 de oct. de 2019

complete hyper parameters is given in lab

por Ruslan A

16 de ago. de 2019

Many notebooks contain some typo/erros.

por Wang Y

29 de oct. de 2018

best course in the specialization!!!

por Gaurav B

13 de feb. de 2020

I was looking for more hands-on.

por Sarwar A

23 de feb. de 2021

Good course overall

por Swaraj P

10 de mar. de 2019

Nice tutorial

por KyeongUk J

28 de oct. de 2018

great

por Matthew B

29 de jun. de 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.

por Bhargav D

26 de abr. de 2020

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

por Siddharth A

9 de nov. de 2018

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

por Alberto C

23 de oct. de 2018

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

por Rahul K

5 de may. de 2019

Some tough concepts !!!

por Pablo I F

5 de ago. de 2020

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

por Mike W

22 de jun. de 2019

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.

por Arman A

11 de abr. de 2019

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.

por Mohannad B

13 de ago. de 2020

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

por Radha M K V

29 de dic. de 2019

Very redundant and superficial.

por man c y

26 de jun. de 2019

poor labs