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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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658 revisiones

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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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526 - 550 de 651 revisiones para How Google does Machine Learning

por Drew F

May 14, 2018

Maybe you could require students to make some changes to the code to make it work, in order to incorporate more student interaction, and thereby more robust learning, into the tasks.

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 Kenny C

Aug 04, 2018

Good overview course in ML.

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 Prateek D

Jul 22, 2018

Could have been more elaborative, but very good course as an introductory course. Learnt some common pitfalls in Managing ML projects.

por Harish p

Oct 02, 2018

Please explain the coding part

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 黃勝暉

Sep 19, 2018

The concept of this class is good, but the lad is out of date.

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 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 Amish P

Jul 23, 2018

It was good course.

por Pushkar.P.Deshpande

Jul 24, 2018

N

por Tuhin M

Jul 28, 2018

A good introduction . Hope the follow up course go through more in depth.

por Evgeniy K

Jul 28, 2018

Strange logistics and very basic labs. But still good course.

por Ryan S

Jul 30, 2018

No real challenges with the quiz or labs but good material nonetheless.

por Jesús O S

Jul 29, 2018

Great course for introduction. Very clean where you get a good first idea of which are the tools used by google to implement ML. Specially loved the Notebooks with the pre-installed programmings.

por Romain B

Jul 30, 2018

Good introduction

por Prakhar G

May 02, 2019

Great intro course, maybe a bit more explanation on google cloud services would have helped more otherwise great course with good hands on labs

por Zach A

Apr 17, 2019

Instructions for labs need to be more clear.

por Paripol T

May 04, 2019

Good Course

por 강성규

Apr 19, 2019

한국어 지원이 되면 더 이해가 빠르겠습니다.

por Rohini M

Apr 20, 2019

Good introduction into Machine learning. Does not tax you with the jargon and deep concepts but more like an outline to how Machine Learning is implemented. Has Qwiklab exercises which helps you get familiar with the tools.

por Tae H K

Apr 19, 2019

very good to know how google does machine learning!

por Ullas S

May 15, 2019

good intro on how to do ML in GCP.

por Javier B G

May 22, 2019

I think GIT usage for notebooks in Cloud Repositories should have been covered in the course as it is widely mentioned and never explained.