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

4.6
4,459 calificaciones
678 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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601 - 625 de 671 revisiones para How Google does Machine Learning

por Ata M

Feb 13, 2019

quick overview!

por Anne C

Mar 07, 2019

It would have been great if the python notebooks were described in more detail.

por Billu

Mar 13, 2019

Good big-picture introduction. Course is completely out of sync with the Google Cloud Platform UI, so it is really exasperating.

por Abhijeet S

Jan 24, 2019

Good course to get started. I personally didn't like the idea of using sandboxes for teaching instead I would have appreciated to use our own account with the free 300 dollar credit.

por Armen D F

Jan 27, 2019

This course lacks high-level organization, and the videos are not well organized in the Coursera portal compared to other courses. Also, the level of detail is very superficial. This is good for beginners or business/marketing people, not so much for advanced programmers. The assignments are also too easy, since every step is pretty much done for you and they do not promote independent thinking.

por Kaixin J

Jul 12, 2018

Not very useful

por Armann H

Jul 19, 2018

A bit easy

por Tất T V

Jul 25, 2018

good

por Vijay K G

Jul 29, 2018

It gave the basic introduction of how to use google API of ML, not explained about how it is achieved, like algorithm logic

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 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 Naresh

Jun 08, 2018

I feel this course is like promoting google products instead teaching what is machine learning

por Luiz C

Jun 29, 2018

lots of marketing for Google products...

por Lakshmi S

Jul 09, 2018

Good understand to over all model not confusing the complex top . Good Cource

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 MANQUAT G

May 17, 2018

The code provided is sometime not uptodate and some resources (like photos or other files) are not available anymore...

por Dmitry G

Jun 26, 2018

General overview of future courses, without good practical valuable information

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 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 David B

Jun 04, 2018

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

por Syed H M

Aug 22, 2018

A very good introduction to ML as Google sees it. A lot of focus on using Google products to solve ML problems and the various options Data Scientists have on Google cloud Platforms. Overall Good content but certainly room for improvement, to deliver a coherent story across the course and focus on the Why's (ML principles & logic) of doing things vs. the How's (Google's platform) of doing things.

por MOHAMMAD D H

Sep 06, 2018

You have put a lot of information about your product rather than teaching anything.

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 Chet

Aug 07, 2018

Very Basic...

por Ashish T

Aug 14, 2018

Company advertising and not machine learning experience.