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

4.6
estrellas
6,986 calificaciones

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

JT

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.

PB

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

Filtrar por:

851 - 875 de 1,093 revisiones para How Google does Machine Learning

por Christopher B

9 de may. de 2021

Very informative, this covered a lot of material and helped my understanding of Google ML

por Anantha P R

1 de ene. de 2019

The course is good. I have downloaded all the video. organization of the lecture is good.

por 서영웅

21 de oct. de 2018

It can give you the path of data processing using Google Cloud Platform. I recommand you.

por Johan S

16 de sep. de 2018

Good course. However there was a bit too much focus on Google APIs over Machine Learning.

por Resve S

8 de may. de 2018

Good overview of business issues and practical use of ML, especially pre-trained engines.

por Arron G H

29 de jul. de 2020

A really nice well structured introductory course into how Google does Machine Learning.

por Akash Y

26 de ene. de 2019

Very well structured course. Highly recommended to getting started with cloud computing.

por Parmeet S

9 de may. de 2020

A simple and informative introduction to Google's strategies towards Machine Learning.

por Attila B

27 de jun. de 2018

Really great introduction into Machine Learning concepts,with good real word examples.

por Sunil N

6 de sep. de 2020

Content is good. Labs are also good. For those who are new to Google cloud its tough.

por Ankit R

13 de ago. de 2019

Got an insight of the practical usage of Machine Learning. It was a good head start.

por Abdullah K

6 de jun. de 2019

Nice course for a glimpse on how Google does Machine Learning and Google's tools

por KURASAU D

31 de jul. de 2020

The teaching content is good but almost all the labs had some probelm with them

por Rizdi A R

19 de nov. de 2019

Great start to know better on Machine Learning powered by Google Cloud Platform

por Naman P

21 de ago. de 2019

I really like the course ,and teaching technique that is being used is awesome.

por Hetav P

22 de jun. de 2020

The course is good overall. But I found the labs to be lacking in explanation.

por XIAO N (

12 de jul. de 2018

The content is good. But too many bugs from GCP. The process is often hanging.

por Alice G

11 de jun. de 2018

Gives a rather good intro into Google products. Too much advertising sometimes

por Aman P

30 de abr. de 2020

I think this course is necessary to build fundamentals for Machine Learning.

por Francisco J B P

13 de jun. de 2022

M​e hubiera gustado ver casos más aplicados en la vida real de una empresa.

por Jignesh G

1 de ago. de 2020

Some more content should be need on which learner can code from their own

por Tuhin M

27 de jul. de 2018

A good introduction . Hope the follow up course go through more in depth.

por João A F

3 de jul. de 2022

Some labs don't have enough time to complete training models in Qwiklabs

por Thanh T

28 de sep. de 2021

Course content and assignment too simple compared to the previous course

por Fernandes P

19 de ago. de 2020

thanks google team for teaching cool stuff of Machine Learning and APIs