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

4.6
4,032 calificaciones
627 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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576 - 600 de 619 revisiones para How Google does Machine Learning

por Ramin A

May 31, 2018

I enjoyed the small talks about having successful AI startups very much, but the labs didn't teach me much of anything.

por john f d

Jun 28, 2018

Its not bad. Its not so much a machine learning class, but a google cloud platform (GCP) class with a slant towards those who will be using GCP to do machine learning. PROS: GCP has a lot of parts and due to the large set of capabilities it can be overwhelming. This class orients a new user to GCP so they can build and use machine learning api's with and without tensorflow. Yes, the tensorflow is behind the apis, but other than the simple demo it is just showing the user how GCP can host a notebook and run some code. Perhaps I'm forgetful but the google crash course available for free will show you how to use tensorboard but this one does not. TLDR; If you know nothing about GCP and you want a quick intro to GCP for its ML offerings this is a great class.

por David B

Jun 04, 2018

Labs a bit hit and miss - mainly due to settings and permissions

por Alexandru S

May 26, 2018

Very basic and short.

Some good information about the ML APIs, but very, very easy to pass and all code is copy and paste. Calling this Intermediate is a big stretch.

por Thanos A

May 30, 2018

I found the beginning of this course a bit boring as it described a lot on google's strategy and organization on the subject. The second half of the course though, introducing datalab and python notebooks was exciting and very good to start playing with GCP services (compute and storage)

por Ross B

Oct 23, 2018

Qwiklabs did not connect to all services on GCP properly. I had to setup my own environment. This should be fixed to ensure a better learning environment. Apart from this it provides a good intro to Google´s ML approach & strategy.

por Dragomir C

Nov 01, 2018

More exercises, pls.

por Tất T V

Jul 25, 2018

good

por Charles O

Jul 06, 2018

Course was good but to expensive..Could not pay for it because I lost my Job as a Solution Architect in one of the leading Global IT company ..Not Google

por Ahmed M M

Nov 04, 2018

was a bit boring

por Kaixin J

Jul 12, 2018

Not very useful

por KimNamho

Apr 17, 2019

thank you

por Aurian N

Apr 14, 2019

This course is good if you want to learn google cloud but there is not much related to machine learning. Mainly presenting google tools

por selvaraj m

May 27, 2019

There were many places where the downloaded libraries in the qwicklabs that didn't match with the code given in the course

por SAYAN G

Sep 11, 2019

not clearly explained

por Peter K

Jan 25, 2019

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

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 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 William K

Aug 10, 2018

Way too simple. No coding required.

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 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 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 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 XINQI

Apr 22, 2019

Almost useless for engineers