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

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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

Thank you

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326 - 350 de 1,098 revisiones para How Google does Machine Learning


26 de may. de 2018

Awesome. Great course. helps understand how to build ML Solutions

por Manish K

16 de ago. de 2019

very interesting and new topics for me, learned a lot from that.

por Praveen k

12 de nov. de 2018

Awesome course to start with ML and hands on GoogleCloudPlatform

por Sabestin N

14 de jul. de 2020

Thank you so much for giving good exposure of machine learning.

por 김용완[YongWan K

20 de oct. de 2019

Very good understandable and easy to use something tools


por Taggart J

17 de jul. de 2019

Way more interesting and useful than I expected an intro to be.

por Sumit k Y

13 de may. de 2019

Great things to learn. Pretty well organized.

Thank you Googlers

por Abhinav S

30 de jul. de 2018

This was a great introduction to using GCP for ML. I loved it!!

por Martha T T

28 de nov. de 2019

I enjoyed going through the course especially the lab sessions

por Ujwal M P

4 de oct. de 2018

It was awesome to know the first step towards machine learning

por Yusuf T T

27 de ago. de 2018

I really liked the course how ML is explained and exemplified.

por Yang J H

22 de may. de 2018

Good way to start especially coming from the first timer at ML


10 de ago. de 2019

Learned a lot to dive deep into the world of machine learning

por Richard K

26 de ene. de 2019

Very good coverage of applying ML to solve business problems.

por Sergio R

18 de ago. de 2020

Excellent course, the teacher very good, very recommendable.

por Muralidhar N

29 de may. de 2020

A very good Introduction to ML and Google cloud capabilities

por sheikzaidh

25 de jun. de 2019

good explanation for the topics and good practical knowledge

por P A

29 de sep. de 2018

I learn a lot but i need materials for my future reference..

por Meynardo J

26 de jul. de 2018

Great intro to the GCP and Google's Machine Learning stack.

por Xosue R

26 de jun. de 2018

Very usefull, and help to introduce to the machine learning

por Jun W

17 de may. de 2018

This course is very inspiring. Thank you Lak and your team.

por D.A.S.N. S

24 de may. de 2020

a very good course for beginners to get to know about GCP

por Thanh N N

27 de jun. de 2019

Great course for beginner, for initial glance into GCP ML.

por Arif N

1 de dic. de 2018

This course was amazing. I have learnt a lot of new things

por Ganesh G

21 de jul. de 2018

Very good course. It gave me insights of machine learning.