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Volver a Serverless Machine Learning with Tensorflow on Google Cloud Platform

Serverless Machine Learning with Tensorflow on Google Cloud Platform, Google Cloud

4.4
1,195 calificaciones
170 revisiones

Acerca de este 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....

Principales revisiones

por 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.

por 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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165 revisiones

por Rasmus Buchmann

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 Peter Schimpl

Dec 16, 2018

Very good and interesting course. Not easy and very complex at the end

por Scott Molitor

Dec 14, 2018

Detailed and incredibly useful for DE's

por rodrigo orellana

Dec 10, 2018

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

por Miguel Antonio Cortes Nannig

Dec 07, 2018

too specific

por Anjan Singha

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 Claudio Ikeda

Dec 03, 2018

a powerful tool in a practical and simple way to empower data engineers with this tool possibilities

por Daniele Scarano

Nov 27, 2018

Lot of information are contained in this short course. It's a perfect approach to ML even if it's a bit confusing if you don't have previous experience. Great course learned lot of things.

por Atanu Ghosh

Nov 26, 2018

Quite knowledgeable. It touches all the aspects of Model building along with the Google Cloud implementation . Learned a lot out of it. Thanks a lot to Lak and team for the course

por Alvin Pradeep 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