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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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728 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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626 - 650 de 719 revisiones para How Google does Machine Learning

por Umair A

Jun 08, 2019

very much helpful

por Romain B

Jul 30, 2018

Good introduction

por Pavan

Oct 30, 2018

great experience

por Belinda M

Dec 03, 2019

Great learnings

por Avinash D

Jul 08, 2018

really helpfull

por Rahul B

Sep 28, 2018

More hands on

por Jitender S V

Jun 12, 2018

Good course.

por Paripol T

May 04, 2019

Good Course

por Sandeep K S

Apr 03, 2019

really good

por 許友誠

Sep 24, 2019

not good

por Chao-Chung W

Aug 28, 2019

too easy

por Aswanth

Feb 20, 2020

goood

por RAVI R K

Dec 31, 2019

Good

por Seba M

Nov 29, 2019

Nice

por Nikhil K

Jun 07, 2019

good

por Shivam B

Jun 26, 2018

Nice

por Pushkar.P.Deshpande

Jul 24, 2018

N

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 Michael M A

Nov 14, 2018

Spent hard earned 50 bucks to get sucked into a week's worth of glorified commercial of black box services provided by the black hole that is Google. The only thing that is missing from these ads is the pricing. Helplessly hoping they tone it down in the subsequent courses of this specialization. Would really like to blame it on these companies that won't even check you out unless you've done stuff on Google's or Amazon's money maker boxes. And to the brother in the video about ML bias, the least you could do for your people is be Google'ly incorrect and talk about a "hypothetical" ML model that labels a black male in a sedan as a threat to a racist cop's life, rather than settling for the mild, plain old credit history example.

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 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 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 Cooper C

Jan 15, 2020

This course is just ok. It is not interactive and I don't feel that I learned much when compared with other ML courses. I expected to work through the lab assignments rather than to simply click through them.

por David W

Oct 06, 2018

Some labs need to be updated (since GCP has been updated), but overall the course was informative. Also there is a quiz with formatting that makes it impossible to know how to answer. Please fix this.