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

6,783 calificaciones
1,063 reseña

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: <<<...

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\n\nThank you

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1001 - 1025 de 1,053 revisiones para How Google does Machine Learning

por Ata M

13 de feb. de 2019

quick overview!

por Kaixin J

12 de jul. de 2018

Not very useful

por Chet

7 de ago. de 2018

Very Basic...

por Armann H

19 de jul. de 2018

A bit easy

por KimNamho

17 de abr. de 2019

thank you

por mustapha b

26 de dic. de 2019


por Tất T V

24 de jul. de 2018


por JDBus W

10 de mar. de 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 Miwa E

23 de jun. de 2021

This much of contents should not take more than 3 hours. I wonder if the instructors are instructed to move as much as possible while they talk. It is the right strategy when one is on a stage, and the talk is live, but wrong strategy for recorded video lecture. I got motion sickness.

por vic c

2 de nov. de 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 Jay V

25 de oct. de 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 Necip F E

16 de sep. de 2021

1​) Heavy advertisement by Google Cloud 2) Irrelevant quiz questions 3) Even a broken quiz question (The explanation for a test option was : "Correct. Sorry try again") 4​) Some actually useful advise + warm-up for GCP

por Viktor L

10 de may. de 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

20 de feb. de 2019

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

por Yusra I

20 de ago. de 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 Filipe G

15 de ago. de 2020

Out of date, and the graded questions are full of subjective answers. I strongly recommend course owners to review material.

por Peter M

29 de sep. de 2018

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

por Peter K

25 de ene. de 2019

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

por Seyed S F

6 de oct. de 2020

It needs to be more practical and coursera platform is still a problem for all coursea

por Swati V

3 de sep. de 2020

API key doesnt work well. everytime kernel of jupyter notebook, needs to be restarted.

por Kevin D B

3 de oct. de 2019

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

por Robin B

4 de ago. de 2020

Interesting information but almost all code examples was broken

por Aurelie D

27 de abr. de 2020

mostly advertising for Google services

por William K

9 de ago. de 2018

Way too simple. No coding required.


22 de abr. de 2019

Almost useless for engineers