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Opiniones y comentarios de aprendices correspondientes a Ingeniería de características por parte de Google Cloud

1,679 calificaciones
182 reseña

Acerca del Curso

Want to know how you can improve the accuracy of your ML models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering where we will discuss good vs bad features and how you can preprocess and transform them for optimal use in your models....

Principales reseñas

8 de abr. de 2020

This course covers a lot about the data pre-processing, and the tools available in Google Cloud to enable the gruelling tasks. Thanks very much for the lectures and training labs. Very informative.

25 de nov. de 2018

It's a pretty interesting course, specially that's the only one that teaches featuring engineering with a focus on production issues, but it assumes some knowledge with apache beam, and dataflow.

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176 - 183 de 183 revisiones para Ingeniería de características

por Muhammad M M

23 de dic. de 2020

The course needs to be cleaned up. Quizzes have typos/unclear questions; labs ask for too much or not enough; there are lab intro and solution videos for labs that don't exist. Forums seem to be inactive as well.

por ni_tempe

7 de oct. de 2019

this is is advertising their product and making us pay for it. They should learn dr Andrew Ng and create courses which teach us without using a specific platform.

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 Bart V

31 de oct. de 2020

Google has made some very disappointing courses on machine learning.

To really learn about machine learning, I have had to use other courses and books.

por Satrio W P

5 de nov. de 2020

Many lab is broken. They simply use incorrect library version which makes the DataFlow process broken.

por yannick t

11 de jun. de 2018

Not very clear + lack of real student practice

por L. H

27 de ene. de 2020

Many labs do not work

por Batkov I O

23 de jul. de 2021

wasting of time