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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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4,913 calificaciones
752 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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701 - 725 de 745 revisiones para How Google does Machine Learning

por Nigar A

Oct 03, 2019

too much theory instead of practice((

por Abdalla N K M

Oct 02, 2018

contains many not updated parts

por SAYAN G

Sep 11, 2019

not clearly explained

por Dragomir C

Nov 01, 2018

More exercises, pls.

por Ahmed M M

Nov 04, 2018

was a bit boring

por Ata M

Feb 13, 2019

quick overview!

por Kaixin J

Jul 12, 2018

Not very useful

por Chet

Aug 07, 2018

Very Basic...

por Armann H

Jul 19, 2018

A bit easy

por KimNamho

Apr 17, 2019

thank you

por mustapha b

Dec 26, 2019

Neutral

por Tất T V

Jul 25, 2018

good

por JDBus W

Mar 10, 2019

Feels a lot more like marketing, more than learning any actual ML. This is followed by some _very_ brief code tutorials for using Google's own well established ML models via REST API, which still feels more like a product demo than actually learning anything. Hitting a rest API isn't hard - although I feel like it's harder using the Python libraries you've chosen than making HTTP requests directly.

Either way, this doesn't teach any actual ML skills.

por vic c

Nov 03, 2018

There is some good stuff here but I feel that I spent a majority of my time learning things that will be obsolete in a month. The labs were a disaster! I kept losing the server and often needed to define keys and obscure resources. This is NOT how I want to spend my time.

por Juan J V

Oct 25, 2018

It is tedious to have so many short videos, and only have the speakers face to see. A whiteboard approach with clearer explanations of what they're talking about would be much better. We need to connect the dots, not just listen to someone talking.

por Viktor L

May 10, 2018

Should've seen it coming. WAY to focused on Google's product offering and political agenda. Nothing wrong with neither but when I'm learning something I don't like the feeling of being force fed something.

por Shashank G

Feb 20, 2019

completely understood within a week. one of the best certifications i have had on coursera. recieved no certification whatsoever. utterly disappointed.

por Yusra

Aug 20, 2018

The course is very basic and targeted to people with no Machine Learning background. It basically shows how to get started with Google Cloud Platform.

por Peter M

Sep 30, 2018

This is pretty much the quality of an enterprise level training, not what I was expecting from google

por Peter K

Jan 25, 2019

Good instructors but very basic course. Can't believe this is marked for intermediate level.

por Kevin D B

Oct 03, 2019

Lots of jargon and brushing over the actual implementation part of it.

por William K

Aug 10, 2018

Way too simple. No coding required.

por XINQI

Apr 22, 2019

Almost useless for engineers

por Stoyan S

Aug 19, 2018

This is by far the worse course I've ever had - the videos are too many and the majority of them are too short. There are like 5 different lecturers for a bunch of 2 minute long videos which is unnecessary. The lab exercises were boring and not challenging. Overall I think I could have learned more by reading 1-2 blog posts. I hope the rest of the courses from this specialization are better organized, more interesting and challenging.

por Alex T

Sep 13, 2018

On my last lab the SSH hung up and I closed the lab and started a new one. I did not get to finish the lab and I got a certificate for completing the course and the lab. Hey, the machine learning should see that I did not get through the lab! This is an instant diploma mill for not finishing the homework and getting certificate. This certificate makes my other completed certificate looks bad.