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

4.6
4,340 calificaciones
660 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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451 - 475 de 651 revisiones para How Google does Machine Learning

por Zhenyu W

Jan 02, 2019

Overall the course is good. IMHO the quiz needs to be improved. It should have more questions and the questions should be more directly related to the lecture or the contents. And I think the course should add some case studies.

por Abdulaziz A

Jan 27, 2019

It's great experience to start with awesome videos like these. Great organizing, materials and ways to deliver information

por AKASH Y

Jan 27, 2019

Very well structured course. Highly recommended to getting started with cloud computing.

por Serge H k

Feb 04, 2019

Got me excited about what is to come in this specialization

por Shah M H R F

Feb 04, 2019

It is a very interactive course that helped me understand some amazing concepts of Machine Learning, BigQuery and google services available for the same. Understanding the APIs provided by google such as Vision API, Translation API, Speech API to name a few, were really helpful to my learning of ML models.

por Jean-Luc D

Nov 22, 2018

Very business-oriented

Large view on state of the art of Machine learning

good support on the Labs

Google culture-oriented

Sometimes difficult to understand for a non-American native (eg : I had no idea of what a slushie was)

por SAI S K

Nov 26, 2018

It was nice learning this. But some options are not working as mentioned in the content. Like creating Credentials was not always possible in the cloud

por Clay R

Jan 06, 2019

The business and infra approach has good info for productionalizing ML.

por Nadim F

Jan 08, 2019

As a novice machine learning engineer these high level lectures are best viewed in the end of the specialization.

por Angela J

Feb 08, 2019

Presentations great. Unable to complete all sections of the labs

por Brian R

Feb 17, 2019

Very high level so not for everyone; but very good intro to GCP and its services. Labs flowed smoothly.

por Vinay M

Mar 18, 2019

Complete theory to start GCP

por ATIF A

Jan 13, 2019

Really good introductory course.

por Kyle K

Dec 15, 2018

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be more interactive, and hands on. I found too much was spoon-fed in the labs. More exploration should be encouraged.

por Gaurav M

Jan 14, 2019

An excellent overview providing a birds-eye view of where ML fits in the larger scheme of a software project and how it evolves. It also provides a good introduction to leveraging Google's ML APIs.

por Nagaraj S

Dec 29, 2018

Excellent material on what are the pitfalls to avoid while doing machine learning. The laying groundwork and following all the steps section made sense. It shows that the course material has been prepared by practitioners - they "know their stuff".

por arpan g

Jan 15, 2019

nice learning experience

por Salamat B

Dec 02, 2018

Good overview of google services for real machine learning products.

por Rashmi B

Mar 21, 2019

The videos were easy to understand. External tools had proper set of instructions as to how to access various tools

por Evgeniy K

Jul 28, 2018

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

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 Ryan S

Jul 30, 2018

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

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.