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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

2,369 calificaciones
282 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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226 - 250 de 277 revisiones para Serverless Machine Learning with Tensorflow on Google Cloud Platform

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Great course in many ways, but I encountered a lot of errors/warnings regarding outdated TF-versions.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

por Daniel M

Jan 06, 2018

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

por Walter S

Jun 24, 2018

Too advanced for a beginner.

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 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 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 Samuel J S

Oct 10, 2018

Too much waiting time for setting up workspaces.

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 Sergii S

Aug 19, 2018

Very short

por Yuri G

Apr 29, 2019

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

por Muhammad D N A

May 01, 2019

the lab is outdated but features engineering is suitable for Data Engineer to implement on works

por Alvaro R F

May 03, 2019

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

por Subhrendu B

Jul 23, 2019


por Kevin T G

Aug 18, 2019

Labs have issues with the versions.

por Oscar A B L

Sep 17, 2019

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

por Graeme C

Oct 23, 2019

A number of videos cut off mid-sentence.

The video flow was poor.

Some videos were too long, some were too short.

The code for TensorFlow was absolutely blown through, and then time focused on other stuff.

Most of the time in the labs was spent waiting for SSH keys to propagate - 3 of the 4 labs in the TF module(I think that's the one) should be combined and made into 2 hours total instead of 1.5 hours each because they are all extremely related and yet had separate, extremely long setup times.

por Juan P

Nov 14, 2019

a bit out of date in terms of versions used

por Sanjana C

Feb 03, 2019

The course seemed little superficial to me

por Edgar L

Jan 12, 2019

As a person who already knew ML and tensorflow, the way the instructor referred to things, mixed concepts, and simplified some of them, made everything a lot more confusing that it really is. I know its easy to dismiss it in this kind of lessons as "that's a complex subject, so it's normal" but it really comes down to the instructor not being effective as he should be.

por David F

Feb 22, 2019

Muito complexo para quem não tem bagagem algum com python e machine learning.

por Pavel S

Feb 20, 2019

Although the course is positioned as intro to machine learning with TensorFlow, it includes too many low-level details that you are unlikely be able to conceive without prior knowledge in machine learning and TensorFlow. The parts devoted to feature engineering and hyperparameter tuning are fully chaotic.

por Murat T

Jul 26, 2017

Decent content is made very difficult to take in due to poorest editing I have ever seen on Coursera. There may not be many alternatives to this course but in terms of quality this course is not a fair value for money. There are multiple duplications, haphazard cuts, 3-5 second videos that are tied together out of context. It seems the videos are taken from a classroom presentation and shoehorned into an online course format. Very disappointing.

por Dharmesh K

Jul 22, 2017

Organization of the videos is poor. The videos are too many in number and a large number of them are extremely short in duration. But it really good to learn tensorflow and usage in distributed fashion in GCP.