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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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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

Thank you

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876 - 900 de 1,093 revisiones para How Google does Machine Learning

por Clay R

6 de ene. de 2019

The business and infra approach has good info for productionalizing ML.

por Ryan S

29 de jul. de 2018

No real challenges with the quiz or labs but good material nonetheless.

por Kailash S

17 de jun. de 2018

Very useful and it was an eye opener for me towards in machine learning

por Pritesh S

14 de sep. de 2018

Assignments could have been improved, but I liked the content covered

por Salamat B

2 de dic. de 2018

Good overview of google services for real machine learning products.

por Michael B

29 de ago. de 2019

Gerenerally a great course. I only struggled with some Lab Coding

por Angela J

8 de feb. de 2019

Presentations great. Unable to complete all sections of the labs

por Jorge A R U

30 de jul. de 2020

Very good introductory course on how to use Google's APIs for ML

por Marin S

2 de abr. de 2019

Some videos are too short, so it fragments the experience a lot.

por Yogesh S

19 de ago. de 2018

Good start to ML, need more data model built up knowledge though

por Kirill T

4 de ago. de 2020

A bit outdated (2017 is the creation year), but still relevant.


11 de jul. de 2019

helps me to develop a better understanding of machine learning.

por Abdou S

29 de jun. de 2020

nice to get an overview about the concepts of machine learning

por 黃勝暉

19 de sep. de 2018

The concept of this class is good, but the lad is out of date.

por Stephen P

28 de may. de 2018

Pretty good, with a nice overview of available features in GCP

por Eugene K

28 de jul. de 2018

Strange logistics and very basic labs. But still good course.

por Alejandro L

14 de jul. de 2021

Too basic if you already have experience with Google Cloud.

por Serge K

3 de feb. de 2019

Got me excited about what is to come in this specialization

por Eduardo S G

30 de jun. de 2018

This is a great overview of the solutions available in GCP.

por jinho s

20 de mar. de 2020

Great overview on machine learning application at Google !

por Abdul I

6 de nov. de 2019

Very good introduction to ML. Really enjoyed the videos.

por Migo L

30 de sep. de 2019

It's good for beginner for someone want to know GCP

por Parminder S

14 de jun. de 2018

Very nice course! ;) note the git repository at end.

por Tae H K

19 de abr. de 2019

very good to know how google does machine learning!

por Deleted A

21 de dic. de 2018

Nice course, but nothing impressive to be learned.