Chevron Left
Volver a How Google does Machine Learning

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

6,525 calificaciones
1,030 reseña

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: <<<...

Principales reseñas

5 de nov. de 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.

20 de mar. de 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

Filtrar por:

901 - 925 de 1,022 revisiones para How Google does Machine Learning

por Avinash D

8 de jul. de 2018

really helpfull

por Rahul B

28 de sep. de 2018

More hands on

por Jitender S V

12 de jun. de 2018

Good course.

por Paripol T

4 de may. de 2019

Good Course

por Sandeep K S

3 de abr. de 2019

really good

por Miyapuram S T

9 de nov. de 2020


por Marcin K

28 de oct. de 2020

good entry

por Faizan M

30 de abr. de 2020

Loved it

por 許友誠

24 de sep. de 2019

not good

por Chao-Chung W

27 de ago. de 2019

too easy

por V S V

11 de jul. de 2020


por Aswanth

20 de feb. de 2020



30 de may. de 2020


por RAVI R K

31 de dic. de 2019


por Seba M

29 de nov. de 2019


por Nikhil K

7 de jun. de 2019


por Shivam B

26 de jun. de 2018


por Pushkar D

24 de jul. de 2018


por john f d

28 de jun. de 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

14 de nov. de 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 Timur R

12 de jul. de 2020

Too much very abstract information. Maybe there is something wrong with me, but at the point where I do not know anything about machine learning, I want to start learning those models, algorithms and all these fundamental things instead of spending my energy learning how to create an infrastructure of something that I do not know how to build. Maybe in future courses all this knowledge will find its place but currently I do not feel so.

por Syed H M

22 de ago. de 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

27 de ene. de 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 Chris S

23 de nov. de 2020

Great tour of the kind of things that GCP enables. Would recommend that you ensure that you have a github account and familiarity with Jupyter Lab before you start so that you can take notes and a small code base with you after you finish the course. I expect and hope that the remaining four courses in the GCP for ML specialization will give more implementation level confidence.

por Thanos A

29 de may. de 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)