Chevron Left
Volver a How Google does Machine Learning

Opiniones y comentarios de aprendices correspondientes a How Google does Machine Learning por parte de Google Cloud

6,928 calificaciones
1,089 reseña

Acerca del Curso

What are best practices for implementing machine learning on Google Cloud? What is Vertex AI and how can you use the platform to quickly build, train, and deploy AutoML machine learning models without writing a single line of code? What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently: it’s about providing a unified platform for managed datasets, a feature store, a way to build, train, and deploy machine learning models without writing a single line of code, providing the ability to label data, create Workbench notebooks using frameworks such as TensorFlow, SciKit Learn, Pytorch, R, and others. Our Vertex AI Platform also includes the ability to train custom models, build component pipelines, and perform both online and batch predictions. We also discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important to not skip the phases. We end with a recognition of the biases that machine learning can amplify and how to recognize them....

Principales reseñas


5 de nov. de 2018

Great to know how to do machine learning in scale and to know the common pitfalls people may fall into while doing ML. Provides great hands-on training on GCP and get to know various API's GCP offers.


20 de mar. de 2019

Really easy with all instruction.I didnt feel bored at any point gave me the basic idea of what is machine learning and how easy google made API's and cloud platform for machine learning\n\nThank you

Filtrar por:

351 - 375 de 1,079 revisiones para How Google does Machine Learning

por Melissacrawford

21 de nov. de 2020

Good overview of ML and the tools available from Google.

por Setia B

16 de may. de 2020

Thank you Google for the course. I do really enjoy it :)

por Hugo H

11 de mar. de 2020

Great course, exercises are good to practice by yourself

por Panu P

4 de ago. de 2019

Give a nice introduction and lot of application example.

por William S

9 de jul. de 2019

Well laid out and put together. A wealth of information.

por Gowtham R

19 de dic. de 2018

Great Course to learn 'THE WHY' part of Machine Learning

por Syamasundar S G

3 de dic. de 2018

Very nice and informative course with labs and overview!

por Leonardo J T G

28 de jun. de 2018

very interesting improve the skills on the devops fields

por Kamalavani T

3 de jun. de 2020

Though it's introduction need more labs for each topic.

por Alex R

2 de may. de 2020

The course is well prepared with many helpful examples.

por URK19CS1040 A

24 de abr. de 2020

nice experience got to know much about machine learning


11 de abr. de 2020

The Labs were interesting and the content also. Thanks.

por nelson c

10 de ago. de 2019

Good introduction of Google Cloud platform, easy access

por Malapati C

4 de dic. de 2018

Thanks, for that i'am entering into a cloud platform..

por Marcelo E

27 de abr. de 2018

Very clear explanations and the labs are very good also

por Deleted A

31 de jul. de 2020

Teachers explain step by step from zero. Great course!

por Nooruddin I

20 de abr. de 2020

A great introduction to ML from a business standpoint.

por Fahmi J

10 de abr. de 2020

Cool, it's so awesome. can't wait to do something more

por Gowthaman S

7 de abr. de 2020

This course really helped to get a grip on GCP and ML.

por Kzn

26 de sep. de 2019

Understanding ML features in the Google Cloud Platform

por Kader D

9 de dic. de 2018

Give a quick and comprehensive overview of the subject

por Eduard B

7 de nov. de 2018

Great course for study machine learning basics and GCP

por Dmytro M

28 de sep. de 2018

Very interesting explanation of using ML in enterprise

por David P

31 de jul. de 2018

Good introduction to ML using managed services on GCP.

por Mateo H

3 de oct. de 2020

Very clear, nice intro to Google's tools and insights