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Julien Simon

Global Evangelist, AI & Machine Learning, Amazon Web Services

Announcing my book: “Learn Amazon SageMaker”

Announcing my book: “Learn Amazon SageMaker”

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Running Folding@home on Amazon EC2 instances

Running Folding@home on Amazon EC2 instances

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Train with Amazon SageMaker on your local machine

Train with Amazon SageMaker on your local machine

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AWS AI & Machine Learning Podcast — Episode 11: XGBoost special

AWS AI & Machine Learning Podcast — Episode 11: XGBoost special

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AWS AI & Machine Learning Podcast — Episode 10

AWS AI & Machine Learning Podcast — Episode 10

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Deploying Machine Learning Models with mlflow and Amazon SageMaker

Deploying Machine Learning Models with mlflow and Amazon SageMaker

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Upcoming webinar on Amazon SageMaker

Upcoming webinar on Amazon SageMaker

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AWS AI & Machine Learning Podcast — Episode 9

AWS AI & Machine Learning Podcast — Episode 9

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AWS AI & Machine Learning Podcast — Episode 8

AWS AI & Machine Learning Podcast — Episode 8

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Deep Graph Library, part 2 — Training on Amazon SageMaker

Deep Graph Library, part 2 — Training on Amazon SageMaker

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AWS AI & Machine Learning Podcast — Episode 7

AWS AI & Machine Learning Podcast — Episode 7

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AWS AI & Machine Learning Podcast — Episode 6

AWS AI & Machine Learning Podcast — Episode 6

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AWS AI & Machine Learning Podcast — Episode 5

AWS AI & Machine Learning Podcast — Episode 5

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AWS AI & Machine Learning Podcast — Episode 4

AWS AI & Machine Learning Podcast — Episode 4

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AWS AI & Machine Learning Podcast — Episode 3

AWS AI & Machine Learning Podcast — Episode 3

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AWS AI & Machine Learning Podcast — Episode 2

AWS AI & Machine Learning Podcast — Episode 2

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Podcast: episode 1

Podcast: episode 1

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Annotating Image Datasets with Amazon SageMaker Ground Truth

Annotating Image Datasets with Amazon SageMaker Ground Truth

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A quick look at Amazon Textract

A quick look at Amazon Textract

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A first look at AWS Inferentia

A first look at AWS Inferentia

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AWS re:Invent 2019 — AI/ML recap — Part 3: Frameworks & Infrastructure

AWS re:Invent 2019 — AI/ML recap — Part 3: Frameworks & Infrastructure

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AWS re:Invent 2019 — AI/ML recap — Part 2: Amazon SageMaker

AWS re:Invent 2019 — AI/ML recap — Part 2: Amazon SageMaker

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AWS re:Invent 2019 — AI/ML recap — Part 1: AI Services

AWS re:Invent 2019 — AI/ML recap — Part 1: AI Services

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A map for Machine Learning on AWS (December 2019 edition)

A map for Machine Learning on AWS (December 2019 edition)

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Making Amazon SageMaker and TensorFlow Work for You

Making Amazon SageMaker and TensorFlow Work for You

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21 min read
Doctor Alice and Cloud Native Bob, my favorite Machine Learning users

Doctor Alice and Cloud Native Bob, my favorite Machine Learning users

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Mastering the mystical art of model deployment, part 2: deploying Amazon SageMaker endpoints with…

Mastering the mystical art of model deployment, part 2: deploying Amazon SageMaker endpoints with…

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Using a SageMaker XGBoost model in scikit-learn

Using a SageMaker XGBoost model in scikit-learn

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Scaling Machine Learning from 0 to millions of users — part 2

Scaling Machine Learning from 0 to millions of users — part 2

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Scaling Machine Learning from 0 to millions of users, part 1

Scaling Machine Learning from 0 to millions of users, part 1

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Thoughts on the beta Alexa Skill Builder certification

Thoughts on the beta Alexa Skill Builder certification

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Making the most of your Machine Learning budget on Amazon SageMaker

Making the most of your Machine Learning budget on Amazon SageMaker

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Applying Machine Learning to AWS services

Applying Machine Learning to AWS services

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Talk: An overview of Machine Learning Application Services

Talk: An overview of Machine Learning Application Services

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A map for Machine Learning on AWS

A map for Machine Learning on AWS

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Talk: An Introduction to Reinforcement Learning

Talk: An Introduction to Reinforcement Learning

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Talk: From Notebook to Production with Amazon SageMaker

Talk: From Notebook to Production with Amazon SageMaker

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Talk: New Machine Learning services announced at AWS re:Invent 2018

Talk: New Machine Learning services announced at AWS re:Invent 2018

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Amazon EC2 c5n and p3dn: more network bandwidth for Deep Learning

Amazon EC2 c5n and p3dn: more network bandwidth for Deep Learning

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Quick tip: converting Gluon models to symbolic format

Quick tip: converting Gluon models to symbolic format

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Mastering the mystical art of model deployment

Mastering the mystical art of model deployment

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Talk: Using Keras with Apache MXNet on Amazon SageMaker

Talk: Using Keras with Apache MXNet on Amazon SageMaker

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Amazon SageMaker: summing up 6 months of customer meetings

Amazon SageMaker: summing up 6 months of customer meetings

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