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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

2,415 calificaciones
289 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. 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


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.


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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201 - 225 de 283 revisiones para Serverless Machine Learning with Tensorflow on Google Cloud Platform

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 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 Jacob T S

Sep 11, 2019

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

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 Aldo O G S

Oct 16, 2019

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

por Rajesh K T

Oct 14, 2019

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

por rodrigo o

Dec 10, 2018

if you read this before taking this course, believe me you will need PATIENCE!

por Cristhian T

Feb 07, 2019


por Francisco A D Z

Mar 15, 2019

El RSME inicialmente se fijo en $8 dolares.

Al final utilizando el metodo con Ingenieria quedo menor a $4.

Me quedo la incognita de como es posible que con los metodos intermedios pueden ser tan inexactos casi un 50% de error con respecto al valor esperado? En la vida real eso se traduce a millones de dolares en perdidas utilizando herramientas de Google Cloud Platform.

por Aleksandr S

Mar 17, 2019

The course is not very well balanced in my opinion. It is very sparse in very beginning and labs do not differ much. Last two modules are too much information and labs complexity grows exponentially.

por Miguel A C N

Dec 07, 2018

too specific

por benoit b - s

Jan 08, 2019

Much harder than the three first courses. Specially for someone who didn't know tensorflow at all!

por Pritesh S

Feb 26, 2019

Make assignments on big data more interactive, and give more time to complete.

por Priyank m

Mar 14, 2018

Need good understanding of Python and TensorFlow syntax.

por Jay S

Jun 26, 2017

Good introductory course for use of TF on GCP! Prior knowledge of TF would be handy as well. Video recordings needs improvement. Video clips from a group class setting appear in the course as well.

por Zdravko P

Aug 16, 2017

Course is fine, but attention to detail is horrible. I mean, 4 sec videos... Old material which is not removed. Duplicated videos...

por Eric S

Sep 07, 2017

Nice overview, but not much depth.

por Ivan

Jan 09, 2018

The theory of ML the course introduced is quite basic, the usage of TF isn't taught in detail. So I am a little disappointed, besides that the accent of the teacher is a little bit hard to understand.

por Ivan S

Nov 10, 2017

Quality of material is mediocre:

-tons of useless short videos

-inconsistent sound level

-missing lab

por Glauber L

May 26, 2018

It would be better to present a easier material on TF. This is not for someone starting on TF.

por Josh J

Sep 01, 2017

Course content is excellent. Organization is not good. It seems like there were some errors in the order of a few quizzes as well as links to the wrong sections. If you take this course and find yourself lost on a quiz or a lab; skip it watch more content, then go back. It was probably out of order.

por Naveen B

Oct 08, 2017

The course appeared to be put together poorly by pulling from many different sources. Therefore it lacks coherence. There are many videos that are under 1 minute long and just there to make a statement or two or just to repeat the last video. Some videos end before instructor could complete his statement. Some videos are recordings from a classroom setting and makes it hard to follow. Also would've appreciated some support from the course team for questions posted on the discussion forum. I think topics such as machine learning in GCP deserves a bit more respect. This course needs to be planned from scratch with MOOC and Coursera format in mind.

por Sebastian M

Jun 25, 2017

The title doesn't reflect the real content of this course, it is more like an introduction to start developing on ML solutions rather than to actually getting in to production on ML google engine

por Babak T

Nov 18, 2017

Great course in many ways, but I encountered a lot of errors/warnings regarding outdated TF-versions. Kind of felt unprofessional at times because of that. Otherwise - great content, great tutorials, great lectures and great labs!

por Sanjeev B

Jun 03, 2018

Need to dig in more to understand