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

4,351 calificaciones
661 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: <<< 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


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.


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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551 - 575 de 652 revisiones para How Google does Machine Learning

por Nikhil K

Jun 07, 2019


por Abdullah K

Jun 06, 2019

Nice course for a glimpse on how Google does Machine Learning and Google's tools

por Umair A

Jun 08, 2019

very much helpful

por meet

Jun 22, 2019

it is nice course for completely unknown with ML and cloud computing, but very easy for others.

por Deleted A

Jun 23, 2019

Amazing course, I got to know about many contemporary things about Machine Learning in this course and also some about how Google does ML. But one thing is there, I had a trouble with getting access to the labs which usually says to me 'Sorry, access not granted to the resource', that surely sucks.


Jul 11, 2019

helps me to develop a better understanding of machine learning.

por Anubhav S

Jul 24, 2019

I am a student at a college and for me, this course makes a nice start. Although I find some things to be quite far fetched i.e some keywords we hard to understand.

I did understand the business aspect of this course and save it for my future years. This course makes me hype about the further one


por Ashutosh G

Aug 03, 2019

With focus on how to implement ML in the real world the course provides us with at least one part of the ML Pipeline which can allow an organization to quickly implement ML in its business. I look forward to the data ingestion part of the specialization.

por Kaushal K

Aug 04, 2019

Awesome Experience.

por vinay

Aug 04, 2019

good introductory course

for ML

por Cyriac B N

Aug 12, 2019

The course gives insights into business plans and strategies that the google team have put into practice in their products.The examples used to explain concepts were really good.

por Ankit R

Aug 13, 2019

Got an insight of the practical usage of Machine Learning. It was a good head start.

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.

por Saibal M

Jun 13, 2019

It's a part of the specialisation, so taking this course is important for completing the specialisation. But the contents of course is also important for a beginner, who is just going start his/her career in ml. It teaches some useful key points on doing ml in real life.

por hammad z

Sep 08, 2019

Course is pretty basic and gives overview of the google cloud products. Overall i am happy with it. But at times i feel they made it lengthy with no reason

por Naman P

Aug 21, 2019

I really like the course ,and teaching technique that is being used is awesome.

por 馬健凱

Sep 10, 2019

Some parts are lengthy, making me want to sleep.

por Joshua B

Sep 11, 2019

I enjoyed the theoretical discussions, including the full process discussion, surrounding ML. Realizing that ML is not a panacea for random problems was a game-changer in focusing our efforts on problems that could benefit from ML now and defining the requirements for ML on other projects.

por Ang K K

Sep 13, 2019

Lak gave very good presentation in other lectures. However, in the first few lectures of this course, Lak was looking at the computer instead of the camera. It will be good if Lak can redo these lectures and look at the camera and hence maintain eye contact with the audience. In addition, if possible, try not to sway too much as it is very distracting. Overall, course is informative despite other comments about advertisement for Google. This is about how Google does Machine Learning after all.

por Chao-Chung W

Aug 28, 2019

too easy

por Jotarun

Aug 29, 2019

too many concepts

por TZU Y

Aug 29, 2019

nice class for ML

por Michael B

Aug 29, 2019

Gerenerally a great course. I only struggled with some Lab Coding

por 郁翔 王

Sep 02, 2019

Easy to understand ML basics

por 許友誠

Sep 24, 2019

not good