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Volver a Serverless Machine Learning with Tensorflow on Google Cloud Platform

Opiniones y comentarios de aprendices correspondientes a Serverless Machine Learning with Tensorflow on Google Cloud Platform por parte de Google Cloud

4.5
stars
2,526 calificaciones
306 revisiones

Acerca del Curso

This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models. OBJECTIVES This course teaches participants the following skills: ● Identify use cases for machine learning ● Build an ML model using TensorFlow ● Build scalable, deployable ML models using Cloud ML ● Know the importance of preprocessing and combining features ● Incorporate advanced ML concepts into their models ● Productionize trained ML models PREREQUISITES To get the most of out of this course, participants should have: ● Completed Google Cloud Fundamentals- Big Data and Machine Learning course OR have equivalent experience ● Basic proficiency with common query language such as SQL ● Experience with data modeling, extract, transform, load activities ● Developing applications using a common programming language such Python ● Familiarity with Machine Learning and/or statistics Google Account Notes: • Google services are currently unavailable in China....

Principales revisiones

NP

Jan 09, 2018

Thank you very much for making this course available on Coursera, I cannot agree more the knowledge of Mr Venkat. This is a great way to help people to get started with Google Machine Learning.

HM

Sep 08, 2018

A very good course on TensorFlow, ML and Google MLE on GCP.\n\nThe Labs are self contained and the problems proposed are very challenging. I learned a lot on this course.\n\nThank you!

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76 - 100 de 299 revisiones para Serverless Machine Learning with Tensorflow on Google Cloud Platform

por Peter S

Dec 16, 2018

Very good and interesting course. Not easy and very complex at the end

por Rômulo L V d S

Jun 03, 2019

Excellent course.

Great tools.

Many challenges for a data engineer.

por Kalyan K

Sep 26, 2017

This course was very useful for understanding of Machine learning.

por Ricardo M S

Jul 18, 2018

Excellent introduction to practical experimentation on the cloud.

por Vasilis V

Sep 01, 2017

Excellent course with hands on labs on ML on GCP with TensorFlow

por Daniel M

Mar 11, 2018

Great content. I know I will reference it in the future.

por Craig T

Nov 01, 2017

Great introduction, useful labs and good explanations :)

por Navi T

May 18, 2019

Course is very good and detailed. It is really helpful.

por Yoann R

Dec 30, 2017

Top level for ML, cloud computing & Big data use case.

por Mark G

Mar 06, 2019

Very good introduction to the concepts of ML in GCP

por prabakaran

May 15, 2018

Real time explanation gives me clear view on course

por Pawel P

Jan 03, 2018

Good explanation and examples of complex solutions.

por Vicente G d S

Mar 16, 2019

Hard content to learn but Labs really helped out.

por Keith A

Feb 06, 2019

Very good course, plan to take the 10 day course.

por David K

Jul 14, 2018

Very nice and clear introduction to ML on google.

por steve l

May 31, 2019

Interesting contents!! I learn a few new tricks.

por Brett W

Jul 25, 2018

Good introduction to ML, Tensorflow and Cloud ML

por luân n

Aug 12, 2019

This course is difficult than previous course

por Mohit G

Apr 09, 2018

I find it very useful. Thanks Lak and team.

por Deleted A

Jun 26, 2017

Great Course, a practical way to TensorFlow

por Yahima

Apr 20, 2018

Best course of all specializations !!!!!!

por Scott M

Dec 14, 2018

Detailed and incredibly useful for DE's

por Pankaj K

Sep 23, 2018

Great ML overview in short time period.

por Natallia L

Jan 16, 2018

Brilliant course. I highly recommend it

por Atanas Y

Aug 24, 2017

Straight to the point. Really liked it.