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

4.6
4,314 calificaciones
658 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 <<< COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....

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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501 - 525 de 649 revisiones para How Google does Machine Learning

por Ruixin Y

Jun 03, 2018

I enjoy the course, but I really don't like the last question in quiz 5, it's a waste of time.

por Avinash D

Jul 08, 2018

really helpfull

por Ameet K

Jun 27, 2018

Good basic introduction to google ML. Liked the Business processes and approaches to solving ML problems

por Shridhar H

Jun 30, 2018

The course was excellent. It cleared some myths about Machine Learning. I always though that training the ML model was important but collecting data is much more important than that.Looking forward to use Google Cloud Platform in the future for production of my projects.

por Stanley

Jun 28, 2018

The introduction course by google address the practical difficulties that we come across while developing and deploying ML model . Necessary for any one who would like to put their model in production in scale.

por Parminder S P

Jun 14, 2018

Very nice course! ;) note the git repository at end.

por Vincent v R

Mar 04, 2018

A bit abstract in some areas, but very good in others. And the labs are nice to get some experience with the tooling.

por John G S

May 25, 2018

Nice introduction; however, it felt like some presenters were attempting to demonstrate their technical prowess. No need for this detail at the early stage.

por Kenny C

Aug 04, 2018

Good overview course in ML.

por Sinan G

Aug 03, 2018

Interesting new insights about biases in ML and a little about how to avoid it, thus going towards so-called "inclusive" ML. Nice overview about how to frame an ML problem and the key importance of data. Good and quick review of some of the Google Cloud API services.

por Arathi M

Sep 04, 2018

Great course with nice examples

por Jiamu J

Sep 06, 2018

A nice helicopter view of Google ML! some of the user interface is different with the one demonstrated in the videos but it's not a big problem.

por Liang-Yao W

Sep 09, 2018

A good introduction to how machine learning applications/products work in big companies like Google, and how path toward ML would look like. First hand experience from google should be valuable. Also get to try out google cloud platform. One star off because some of the exercises become nontrivial to follow because some user interfaces have changed since the course was recorded (but can still be completed with some try).

por Victor H

Sep 08, 2018

This is a very useful course for practising GCP

por 黃勝暉

Sep 19, 2018

The concept of this class is good, but the lad is out of date.

por Putcha L N R

Oct 15, 2018

Nice way to begin stuff! Hoping to see amazing stuff in upcoming courses of the specialization!

por Nackeeran N

Sep 24, 2018

Very good intro to GCP based machine learning

por 서영웅

Oct 21, 2018

It can give you the path of data processing using Google Cloud Platform. I recommand you.

por Ammar J

Oct 21, 2018

It was particularly interesting to hear Google's definition of ML and what problems it can solve.

por Jonathan A

Aug 08, 2018

It's a good advertisement for Google products. As the start to a specialization in ML, it seems a little over-the-top with advertisement.

por Brad B

Aug 06, 2018

Very exciting to be able to learn this directly from Google and get introduced to QwikLabs and Cloud Datalab... the process of accomplishing the labs does seem to be cumbersome, but perhaps the details will be explained later (how accounts are processed, APIs activated, credentials... how data and compute engines are kept on standby or persistent once setup...). I have had some difficulties with getting the labs to work at times... couldn't see the Webview widgets at one point, because I didn't realize that I had to close the menu bar on the left side of the screen.

I have very much appreciated the overview introduction to the Google approach to ML... that is very helpful... knowing how to choose processes for ML and an appropriate approach to them... also keeping the scope of what they do somewhat limited and breaking it into pieces.

Having some experience with SQL and Python are very helpful for completing the labs and while I have had some of both, my skills are rusty. I might go off and study both of those topics and then plan to come back to this course, but I will see how the next week goes.

Thank you.

por Russell H

Aug 13, 2018

Content was really interesting. I especially the emphasis on the big picture (the 5 phases) and the discussion of bias in ML; I have not seen these in any other course so far. The labs were a bit involved even though no code had to be written, due to the number of steps and screens. The fact that the GCPUI has changed since the videos and instructions were put together added an extra layer of obfuscation to the labs.

por Tom

Aug 13, 2018

Very informative stuff. The videos could be better though:

a. a pointer following the data the lecturer talks about

b. more visuals

c. better explanations for concepts, e.g. the questionnaire about "create concept for ML Model for a chosen problem" was hard to understand, as general concepts were missing (e.g. how was the question "what would the API look like?" meant?)

por Pavan

Oct 30, 2018

great experience

por Vishal V

Nov 03, 2018

A well put out course. The content flow was great and the Google product info seemed more contrived than ads. The lessons could have been a little more detailed and the content split into 2 weeks or so. A good course if you take it after Andrew NG's Structuring ML Projects course