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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
2,445 calificaciones
296 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.

MG

Sep 21, 2017

Great course! I've learnt a lot. The concepts where super clear. The coding part was a little difficult, I didn't understand all af it, but it's good to have a complete example to use.

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176 - 200 de 291 revisiones para Serverless Machine Learning with Tensorflow on Google Cloud Platform

por Girish P

Dec 13, 2017

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por Aung K H

Aug 08, 2018

Great content but a bit hard to concentrate details at times due to non animated slides while Lak is giving audio instructions.

por Mohan K

Aug 13, 2018

There was quiet a lot to digest in this module. Very hard to keep pace and still have right level of detail.

por Joachim H

Nov 03, 2018

Very good overview of Tensorflow for Data Engineers.

por Perry

Nov 18, 2018

Great instructor and everything works well. I just wish, as I did for the rest of the course, there was more hands on coding rather than just a review and clicking next. Better for learning purposes. But, with a Python foundation you should be able to understand what's going on by cloning github.

por Alvin P E

Nov 19, 2018

overall good. the lab should have more cpu. for small mbs data dataflow,cloud ml took 15 -20 min .ALso we can combine jypter labs to single instead of repeating the process for multiple small labs.It takes lot of tine to launch data lab

por Dan G G

Sep 17, 2018

Need a subtitle review.

por pradeep t

May 03, 2019

Excellent content .Great instructiors . BUt the lab sessions were very slow to run . Need more time for these may be 2 hrs .

por Cedric A W

Jul 05, 2019

Hated this course. Too many bugs! I had to settle for a 75% on Lab 7 due to unchangeable code errors (ie deprecated methods/functions)

por Prateek A

May 16, 2019

Just a introduction of deep learning tensorflow APIs using Google cloud. Could have explained in more detail about the functionality of Estimators and how Cloud ML Engine can be used. Outside this course there are not many documentation provided on these topics. It is a difficult task for beginners to use GCP for running high level APIs for machine learning.

por Harsha A

May 18, 2019

A very detailed course for introduction to Tensor flow for Data engineers.

por Ashwin S

May 28, 2019

good

por Robson E d S P

Jul 14, 2019

Achei este curso LONGO de mais, para uma sprint de uma semana apenas, deveria ser 2 semanas. por isso não dou 5 star.

por Bhaskar V

Aug 17, 2019

Informative and detailed

por Dhwaj G

Aug 17, 2019

Very good introduction to concepts, would give 5* if it encourages to write more code than reading code

por Ihor D

Aug 19, 2019

It would be 5 stars if not a bad quality of latest material in the course (around last lab and INCLUDING last lab, which is simply not working -- there was a package conflict issue in a notebook code -- had to find a work around in order to pass it)

por Dmytro C

Aug 25, 2019

It would be much better if there was more quizzes.

por Aldo O G S

Oct 16, 2019

Excellent course. Though a bit slow for those who have any good knowledge on ML already

por Jacob T S

Sep 11, 2019

Okay overview, not too in depth and doesn't explain all of the code very well

por Zhenyang H

Jul 12, 2017

Machine learning part is really hard without too much of previous experience especially on the python code.

por Simon P

Dec 09, 2019

Would have prefer to learn with TF2.0

por Armindo C

Dec 07, 2019

Good course overall but some labs were not working correctly

por Rajesh K T

Oct 14, 2019

Lab 4 throwing error after rectification also lab status is 50% completion status showing. Overall good.

por Aadil S

Jun 10, 2019

The course was good for the data engineers beginning with GCP, a bit more syntactical information can be added in the notebooks, it will this course even better.

por Suneel S

Feb 08, 2019

good course, nice practical examples