Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker – AWS Online Tech Talks

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To learn more, please visit: https://aws.amazon.com/sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning. In this tech talk, we will introduce you to the concepts of Amazon SageMaker including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment of ML models. With zero setup required, Amazon SageMaker significantly decreases your training time and the overall cost of getting ML models from concept to production.

Learning Objectives:
– Learn the fundamentals of building, training & deploying machine learning models
– Learn how Amazon SageMaker provides managed distributed training for machine learning models with a modular architecture
– Learn to quickly and easily build, train & deploy machine learning models using Amazon SageMaker

Comments

Rui Wang says:

fascinating and helpful introduction to the ML production system on Amazon

Vijay Ravi says:

Explained clearly. Thanks a lot!

SAM Am says:

A
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G DEMO.
Thanks.

Uniqtech says:

Just want to say this is high quality, succinct and very useful. Thank you so much! David

Carey Main says:

How do you load from Redshift

Paul Dacus says:

33:45 Keeping Up With The Kardashians correlates best with a random sting of nonsense. SURPRISE

Paul Dacus says:

28:50 Gory Horror I see Ru Pauls Drag Race is there, as it should be.

Julian Pani says:

Good video.
Is the notebook code publicly available? that would be awesome

Paul George says:

Please help me understand this specific example. You've trained your model based on the title of the movie that the user reviewed? But it doesn't take into account the rating the user gave the movie? Is this right? So if a user has 10 movies in their rating history and they are all 1 star, but the names are similar, your model will recommend other movies that this user will probably not like? Am I missing something with this particular model? Wouldn't it be better to correlate the rating (# of stars) with the title similarities? Thanks!!

Ferhat Kochan says:

When did they go over deploying to production?

Divyang Goswami says:

One of the best video I have ever seen on a Amazon Sagemaker.

Santosh Sundar says:

Excellent video. I have watched tons of other videos on Sagemaker, none are as descriptive as this one along with a real life scenario. Really loved it and learnt loads of stuff.

Ankush Bhatia says:

Very good video, very informative. Thanks for sharing it..

Raymond says:

oww, sagemaker is basically Jupyter Notebook. Nice.

Great video by the way.

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