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

4.6
4,071 calificaciones
628 revisiones

Acerca del Curso

What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

Principales revisiones

JT

Nov 06, 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

Mar 21, 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

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201 - 225 de 620 revisiones para How Google does Machine Learning

por Ertu S

Aug 22, 2018

Great overview of Google approach to ML

por Vinothini B

Sep 07, 2018

Inspirational

por Yashila B

Sep 07, 2018

Really cool course to get your feet wet with GCP.

por Mayank K

Sep 11, 2018

Explains a lot of about the AI ecosystem

por Alberto C

Sep 20, 2018

Very good course, not just technicism but also an outlook to the world of AI

por Martin L

Sep 20, 2018

Very good course about production machine learning. I take this course after taking the Andrew Ng's course, as I found MatLab was not very popular among the community, and tried to learn some Tensorflow stuff. The first course in the specialization is a surprise. Very deep insight on machine learning in real world taught by Googlers. The serverless concept is also fascinating as I am facing issues with running ML stuff on my own. Recommended this course to people who wants to understand the design and business application part of ML.

por Harold L M M

Sep 13, 2018

A very good introduction into ML from the GCP perspective.

Thank you!

por Jongyeon P

Oct 16, 2018

Good for beginners

por Arief R S

Sep 24, 2018

Great course online for learning about Machine Learning in Google

por LUIS H R R

Sep 25, 2018

Excelente

por Kimkangsan

Oct 18, 2018

good

por Dennis

Sep 26, 2018

Great intro to Google Cloud AI

por Minh N D C

Oct 20, 2018

ok

por Alaso L K

Oct 20, 2018

What can I say... The course is deep, teachings are profound, and it makes you realize how huge and powerful ML field is and the awesome and myriad solutions this technology can solve... Plus you get hands on labs with GCP and its suite of world class APIs

por Fernando N

Oct 22, 2018

Great course! Easy to follow. Clarity conpcets.

por Licky S

Oct 23, 2018

Easy to understand contents, great!

por Ruyi C

Oct 22, 2018

The course covers lots of best practices when transferring an organization into a ML organization. It's not too technical but covers high-level concepts and know-how. I really like it

por Youngwook L

Oct 23, 2018

good

por Arun k

Oct 23, 2018

this is amazing

por Somaiya J G

Oct 25, 2018

Very well explained, as expected Google is best.!

por Eddy P

Oct 14, 2018

In fact it is an introduction to GCP

por onilude l

Aug 07, 2018

Nice course

por Muathe N

Aug 08, 2018

An amazing platform to learn about machine learning and easier coursera platform to navigate and find resources

por Ashish K S

Aug 09, 2018

very well taught, directions are clear, there is enough material to cover, but keep in mind it is the first course, still neat.

por Peter O

Aug 05, 2018

This course was presented in a basic fashion that made it quite easy to follow and understand without being bored off by technical terminologies.