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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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126 - 150 de 284 revisiones para Serverless Machine Learning with Tensorflow on Google Cloud Platform

por Khalid K

Jul 05, 2019

Great content with very precise and instructive techniques. I highly recommend.

por Jeferson R d S

Jul 05, 2019

very nice free course

por Kiran S

Jul 07, 2019

Very Good insights on Tensorflow, Wide, Deep Machine learning, Feature Engineering and improving accuracy of machine learning, Hyperparameters and finally getting better model and deploying on the cloud

por Jafed E

Jul 06, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

por Cedric C

Jul 11, 2019

Very good course to learn Tensorflow with Python on GCP with ML engineering methodolgy!

por Joel d S R d M

Jul 15, 2019


por Gary T

Sep 16, 2019

I plan read and redo each note and lab over and over again. Absolutely best ml program online and offline.

por Gipsy G

Sep 12, 2019


por Mihai P

Sep 12, 2019


por Satyanarayan A

Sep 17, 2019


por Alexei M

Oct 19, 2019

The course is very well done and interesting. Only the last Lab 7 was a total pain. Kept failing, took 7 attempts to pass.

por Dushyant S R

Oct 01, 2019

one of the better course , what is not good is support that we get for resolving LAB issues , any isse with LAB , standard answer from QuickLabs would be "the labs work fine when we do it", which kind of defeats the purpose of having a support.

Double whammy Coursera Support , I guess cannot do much apart from saying "we cant do much , its quicklabs"

por Hovsep P

Oct 11, 2019

Very complete.


Nov 11, 2019

Learned lot of thing to work on in future while developing your own machine learning project or model.

por Rasmus B

Dec 16, 2018

I did not expect much, since I already worked with cloud ml before, but the points on feature engineering and model design were actually quite helpful and presented very well.

por Laurent L

Dec 20, 2018

make sure to be very comfortable with Python before enrolling, otherwise, great course :)

por Anjan S

Dec 04, 2018

It was really very informative session. After going through this session, I feel there are lots of things to learn and I will. Thanks Lak for the wonderful course material.

por Cameron S B

Feb 20, 2019

Excellent course.

por Anuvrat K

Feb 22, 2019

Nice Content and nice explanation by Lak. Loved it.

por oscar z

Feb 28, 2019

its an interesting introduction to ML using tensor flow deploying interesting real data models.

por Suneel S

Feb 08, 2019

good course, nice practical examples

por Kishore K P

Mar 16, 2019

If we have good idea on tensorflow this is one of the best course to do.

por Camilo G

Mar 08, 2019

Useful course

por Venkata S R K

Mar 17, 2019

Good one to understand the basics of Machine Learning and how it can be done in GCP

por Mariano P G N

Feb 14, 2019

Problems with the lab 7