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Hacker News Comments on
Serverless Machine Learning with Tensorflow on Google Cloud Platform

Coursera · Google Cloud · 1 HN comments

HN Academy has aggregated all Hacker News stories and comments that mention Coursera's "Serverless Machine Learning with Tensorflow on Google Cloud Platform" from Google Cloud.
Course Description

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.


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


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.

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Provider Info
This course is offered by Google Cloud on the Coursera platform.
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See also: all Reddit discussions that mention this course at

Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this url.
Disclaimer: I am notoriously anti google and have tons of reasons to post these links. We push on hybrid cloud/on prem deep learning with our own deep learning framework that competes with the commerical sides of tensorflow, mxnet,..

Sample of search results:

Even their docs:

Marketing content/training:

vs (1 link I found with googling) for AWS:

If we push the amazon equivalent though, run this: aws mxnet

Every cloud vendor has their own framework. Microsoft has CNTK on azure as well.

Google doesn't want a repeat of what happened with map reduce and hadoop:

That being said, as a user: Just take it. You benefit from vendors competing. Google would love to pay you to use their tools.

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