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

4.6
4,446 calificaciones
675 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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151 - 175 de 669 revisiones para How Google does Machine Learning

por Ricardo A G R

Oct 30, 2018

Great course! Thank you.

por chandan k s

Oct 30, 2018

This is vary good platform where we can learn more and more

Thanks

por Zezhou J

Nov 02, 2018

Interesting and engaging content of ML. The course is structured well and emphasizes important aspects of ML which tend to be overlooked by many. Just hope some exercises could be further refined.

por Alejandro O

Nov 05, 2018

Great introduction for beginners, nice overview for people returning

por Somaiya J G

Oct 25, 2018

Very well explained, as expected Google is best.!

por JYOTHIS T

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.

por Paul W

Nov 09, 2018

A surprisingly comprehensive introduction to Google's approach to ML. Th course is pragmatic to how projects develop as well as current GCP offerings around ML.

por Gopinath S

Nov 11, 2018

Great Intro to Google ML Services

por Mohamad H b M R

Nov 11, 2018

I learned a whole lot from the course. Really appreciate the opportunity to take this course !

por Praveen k

Nov 12, 2018

Awesome course to start with ML and hands on GoogleCloudPlatform

por Ripunjoy G

Nov 14, 2018

Nicely Taught.

por Muyide I

Nov 16, 2018

Great learning with google

por Yuzhi X

Nov 16, 2018

Good

por Qi B K

Nov 14, 2018

Wow very informative

por Joel M

Nov 16, 2018

Great introduction, and easy-to-follow, thorough instructions. Balanced and nuanced view of the role and practical applications of ML in the real world.

por Carlos F M

Nov 17, 2018

Very informative introduction to end-to-end machine learning with GCP. Definitely recommended for business looking to start implementing ML

por prashant_21799

Nov 18, 2018

Highly recommended.

por Eduard B

Nov 07, 2018

Great course for study machine learning basics and GCP

por Jordan K R M

Nov 07, 2018

Base esencial sobre el mundo de Google

por ATMANAND D G

Jun 09, 2018

Best course for student.Easy to understand it.

por Ayush C

Jul 03, 2018

For me,I believed that ML is hard but through this course I found it to be easy and extremely important.Do check out this course!

por Saurabh W

Jun 17, 2018

This was a good start for GCP with machine learning ,a relatively good course from the Googlers and very happy to be part of it .

por Ashar M

Jul 08, 2018

At the end it was very entertaining to use various images to detect test and sentiment. Even tried some watermarks, alas the vision API doesn't detect watermarks.

por Vikas B

May 04, 2018

Good overview of GCP, datalab and some of the pre-trained ML resources that Google provides