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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
2,363 calificaciones
280 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.

MG

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 276 revisiones para Serverless Machine Learning with Tensorflow on Google Cloud Platform

por steve l

May 31, 2019

Interesting contents!! I learn a few new tricks.

por Akshay K

Aug 19, 2019

An excellent introduction to Machine Learning. Love the way the concepts have been explained. I would recommend for beginners. While the course complexity increases with each chapter, a strong conceptual understanding makes it easier to comprehend.

por Sugumar

Aug 17, 2019

Really awesome and a very well-curated course.

Long courses may make you loose focus. Small courses may not have enough information. But this is the really awesome course curated with only the information required. Really I enjoyed and got the required knowledge to start to google cloud ML and machine learning.

I suggest that understand machine learning concepts clearly before getting into the course. So that, we can follow this session along with the way very easily.

por Gipsy G

Sep 12, 2019

Gracias

por Mihai P

Sep 12, 2019

Great

por Muhammad N B

Aug 25, 2019

Loved the course outline and learned a great deal. Not only did I understand ML model creation lifecycle, how to improve accuracy significantly using feature eng, hyperparam tuning and Big Data but also acquired knowledge of state-of the-art GCP tools such as Cloud ML Engine that can help train and serve these models at scale with ease.

Big Thanks and round of applause for Lak and all those who helped in putting this together.

Regards,

Naqash

por Juan S V

Aug 24, 2019

Muy bueno......

por Narendra B O

Aug 26, 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 Satyanarayan A

Sep 17, 2019

Good

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.

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 RONAK J

Nov 11, 2019

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

por Alvin P E

Nov 19, 2018

overall good. the lab should have more cpu. for small mbs data dataflow,cloud ml took 15 -20 min .ALso we can combine jypter labs to single instead of repeating the process for multiple small labs.It takes lot of tine to launch data lab

por Perry

Nov 18, 2018

Great instructor and everything works well. I just wish, as I did for the rest of the course, there was more hands on coding rather than just a review and clicking next. Better for learning purposes. But, with a Python foundation you should be able to understand what's going on by cloning github.

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 Laurent L

Dec 20, 2018

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

por Suneel S

Feb 08, 2019

good course, nice practical examples

por Mariano P G N

Feb 14, 2019

Problems with the lab 7

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 Luiz T

Feb 26, 2019

Good!

por oscar z

Feb 28, 2019

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

por Camilo G

Mar 08, 2019

Useful course