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Volver a Ingeniería de características

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

4.5
estrellas
1,697 calificaciones
189 reseña

Acerca del Curso

Want to know about Vertex AI Feature Store? 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 discuss good versus bad features and how you can preprocess and transform them for optimal use in your models. This course includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow....

Principales reseñas

GS

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.

OA

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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126 - 150 de 190 revisiones para Ingeniería de características

por Keith H

1 de sep. de 2019

Love the course but this specialization is fairly complex and is new type of thinking as such take a bit of understanding.

por Gregory R G J

30 de ene. de 2019

Thumbs sideways.

I learned a ton but it appears as technology grows and changes updates to the platform is sort of static.

por Zezhou J

9 de nov. de 2018

The content is quite rich in this course. I feel decomposing it into two weeks might make it structurally more clear.

por Frederik C

18 de nov. de 2019

Very well explained, lost time during tutorials because of apache beam version conficts with google cloud dataflow

por Roberto T

11 de ene. de 2020

starts off with a bang, and generally excellent. the tf.transom section needs a bit of freshening and refocusing

por Vamsi K B

11 de mar. de 2020

This course gives an ample understanding on the significance of Features and Data in Machine learning.

por Attila B

8 de dic. de 2018

Really comprehensive course.Was a bit tough to follow sometimes,but guess it's just beginners problem.

por RIJO R

8 de sep. de 2020

Good Course, helped me to learn something new about GCS and feature learning. Thanks for this course.

por Emily T

5 de jul. de 2019

This course really needs more hands on work with code, but it was still good and I learned lots.

por Sandeep K

29 de jul. de 2018

this was really good, except removed one start for trifacta integration of dataflow lab.

por Srichakradhar R N

13 de dic. de 2018

Felt like it was cut short at the end. Would like to see a bit more on the tf.transform

por borja v

21 de jun. de 2019

the course needs some code upgrades because of ML engine is close to be depecreated

por Jiong S W

15 de abr. de 2022

Good guidance more detailed explanations then it would be perfect.

por ThemisZ

4 de feb. de 2020

very nice course , -1 star for no pdf/ppt notes made available

por Alexander Z

29 de dic. de 2018

great content and cool notebooks ... sometimes hard to follow

por Marcos H

8 de nov. de 2018

Very practical and Lak is a great teacher and communicator!

por Fernandes M R

15 de may. de 2020

Maybe a little more example of how deal with features.

por Malithi N

25 de may. de 2020

This course explains theories nicely with labs

por Joel M

6 de dic. de 2018

good clear instructions, and valuable content.

por Anupam P

26 de ago. de 2019

Comprehensive yet precise and clear.

por Rohit K A

24 de dic. de 2018

No course material for reference

por Michael C

29 de nov. de 2020

Very important information here

por Rahul K

5 de may. de 2019

Lovely Course. Thanks Google

por Eran T

20 de mar. de 2022

Focuses mostly on DNN

por Ripunjoy G

21 de nov. de 2019

Labs have problems