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Retour à Serverless Machine Learning with Tensorflow on Google Cloud Platform

Avis et commentaires pour d'étudiants pour Serverless Machine Learning with Tensorflow on Google Cloud Platform par Google Cloud

4.5
stars
2,530 évaluations
306 avis

À propos du cours

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....

Meilleurs avis

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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226 - 250 sur 299 Avis pour Serverless Machine Learning with Tensorflow on Google Cloud Platform

par 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.

par 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!

par 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.

par 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.

par 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.

par 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

par 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.

par 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.

par 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...

par 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.

par Eric K

Dec 24, 2017

many of the classes had copies in the next video - or had stopped midway in conversation. - please review and re-edit.

par benoit b - s

Jan 08, 2019

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

par Daniel M

Jan 06, 2018

Tends to drag on a bit and the instructor does nothing to make machine learning sound interesting.

par Ivan S

Nov 10, 2017

Quality of material is mediocre:

-tons of useless short videos

-inconsistent sound level

-missing lab

par Muhammad D N A

May 01, 2019

the lab is outdated but features engineering is suitable for Data Engineer to implement on works

par Glauber L

May 26, 2018

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

par Oscar A B L

Sep 17, 2019

para sacarle un mejor provecho al curso es necesario entender por completo python.

par Jörn U G

Dec 07, 2019

Good course. Learning experience is mediocre due to many issues in the Lab's .

par Pritesh S

Feb 26, 2019

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

par rodrigo o

Dec 10, 2018

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

par Justin G

Oct 12, 2017

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

par Yuri G

Apr 29, 2019

Often video repeats same things over and over, provides obvious examples.

par Oleg M

Dec 06, 2019

Spent more time fighting with Qwiklabs than watching videos.

par Priyank m

Mar 14, 2018

Need good understanding of Python and TensorFlow syntax.

par Alvaro R F

May 03, 2019

I understand the complexity, this is why I rate 3 stars