Accelerate your Machine Learning workflows with Amazon SageMaker

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Accelerate your Machine Learning workflows with Amazon SageMaker Julien Simon, AI Evangelist, EMEA @julsimon

Transcript of Accelerate your Machine Learning workflows with Amazon SageMaker

Page 1: Accelerate your Machine Learning workflows with Amazon SageMaker

Accelerate your Machine Learning workflows with Amazon SageMaker

Julien Simon, AI Evangelist, EMEA@julsimon

Page 2: Accelerate your Machine Learning workflows with Amazon SageMaker

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

PlatformServices

AWS ML Stack

Deploy machine learning models with high-performance machine learning algorithms, broad framework support, and one-click training, tuning, and

inference.

Page 3: Accelerate your Machine Learning workflows with Amazon SageMaker

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

End-to-End Machine Learning

Platform

Zero setup Flexible Model Training

Pay by the second

$

Amazon SageMakerBuild, train, and deploy machine learning models at scale

Page 4: Accelerate your Machine Learning workflows with Amazon SageMaker

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Highly-optimized machine learning

algorithms

BuildPre-built notebook instances

Amazon SageMaker

Page 5: Accelerate your Machine Learning workflows with Amazon SageMaker

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Highly-optimized machine learning

algorithms

One-click training for ML, DL, and

custom algorithms

BuildPre-built notebook instances

Easier training with hyperparameter

optimization

Train

Amazon SageMaker

Page 6: Accelerate your Machine Learning workflows with Amazon SageMaker

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

One-click training for ML, DL, and

custom algorithms

Easier training with hyperparameter

optimization

Highly-optimized machine learning

algorithms

Deployment without

engineering effort

Fully-managed hosting at scale

BuildPre-built notebook instances

Deploy Train

Amazon SageMaker

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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Amazon SageMaker customers

https://aws.amazon.com/sagemaker/customers/

Page 8: Accelerate your Machine Learning workflows with Amazon SageMaker

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Demos1. Off-the-shelf algorithm:

classifying MNIST with XGBoost

2. Train with your own code: classifying the Iris data set with a DNN in Tensorflow

3. Deploying your own pre-trained model: clustering MNIST with k-means in scikit-learn

4. Bring your own algorithm: classifying the Iris data set with Decisions Trees in scikit-learn

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FRAMEWO RKS AND INTERFACES

PLATFORM SERVICES

APPLICATION SERVICES

Amazon Rekognit ion Amazon Polly Amazon Lex

Democratization of AI

Amazon Rekognit ion Video

Amazon Transcr ibe

Amazon Comprehend

Amazon SageMaker AWS DeepLens Amazon EMR

Deep Learning AMI

Amazon Translate

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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Resources

https://aws.amazon.com/machine-learninghttps://aws.amazon.com/blogs/ai

https://medium.com/@julsimon

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Thank you!

Julien Simon, AI Evangelist, EMEA@julsimon