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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
2,379 calificaciones
283 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

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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201 - 225 de 278 revisiones para Serverless Machine Learning with Tensorflow on Google Cloud Platform

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 Jacob T S

Sep 11, 2019

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

por Dmytro C

Aug 25, 2019

It would be much better if there was more quizzes.

por Rajesh K T

Oct 14, 2019

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

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 Jose F C P

Nov 19, 2018

El curso es correcto, demasiado denso, para acabar solo arañando la superficie de lo que es Machine Learning. Los laboratorios ha sido pésimo.

por Miguel A C N

Dec 07, 2018

too specific

por rodrigo o

Dec 10, 2018

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

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 Cristhian T

Feb 07, 2019

LAB 7 NOT WORKING PROPERLY

por Pritesh S

Feb 26, 2019

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

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 Sarah

Sep 04, 2018

Some of the transcription is not in the right order or with the right video. Some of the videos are split up when they would be better if they were put together.

por Samuel J S

Oct 10, 2018

Too much waiting time for setting up workspaces.

por Sergii S

Aug 19, 2018

Very short

por Yershov M

Sep 15, 2018

Bad English subtitles, some video interrupts in mid-sentence. I think, it is important course, and it could be more qualitative.

por Josy

Sep 28, 2018

Willing to rate first couple of courses well for intro. By now expected much more meat - details, coding exercises - not the high level skimming of the tools. Almost an advert for GCP. Anyone with minimum java/python reading level can take this class - no intermediate programming involved.

por Alberto C V

Oct 26, 2018

good intro

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 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 Eric S

Sep 07, 2017

Nice overview, but not much depth.

por Ivan S

Nov 10, 2017

Quality of material is mediocre:

-tons of useless short videos

-inconsistent sound level

-missing lab

por Justin G

Oct 12, 2017

Some funky non editing in the videos, but overall this was a good overview.