Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker – AWS Online Tech Talks
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
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
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fascinating and helpful introduction to the ML production system on Amazon
Explained clearly. Thanks a lot!
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Thanks.
Just want to say this is high quality, succinct and very useful. Thank you so much! David
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Good video.
Is the notebook code publicly available? that would be awesome
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!!
When did they go over deploying to production?
One of the best video I have ever seen on a Amazon Sagemaker.
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.
Very good video, very informative. Thanks for sharing it..
oww, sagemaker is basically Jupyter Notebook. Nice.
Great video by the way.