AWS - Machine Learning
- Machine Learning
- 1 Product
- 3 Case Studies
Putting machine learning in the hands of every developer
Jan 13
How to train procedurally generated game-like environments at scale with Amazon SageMaker RL
A gym is a toolkit for developing and comparing reinforcement learning algorithms. Procgen Benchmark is a suite of 16 procedurally-generated gym environments designed to benchmark both sample efficiency and generalization in reinforcement learning. These environments are associated with the paper Leveraging Procedural Generation to Benchmark Reinforcement Learning (citation). Compared to Gym Retro, these environments have […]
Jan 20
Redacting PII from application log output with Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to find insights and relationships in text. The service can extract people, places, sentiments, and topics in unstructured data. You can now use Amazon Comprehend ML capabilities to detect and redact personally identifiable information (PII) in application logs, customer emails, support […]
Jan 19
Building, automating, managing, and scaling ML workflows using Amazon SageMaker Pipelines
We recently announced Amazon SageMaker Pipelines, the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning (ML). SageMaker Pipelines is a native workflow orchestration tool for building ML pipelines that take advantage of direct Amazon SageMaker integration. Three components improve the operational resilience and reproducibility of your ML workflows: pipelines, model […]
Jan 19
Building, automating, managing, and scaling ML workflows using Amazon SageMaker Pipelines
We recently announced Amazon SageMaker Pipelines, the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning (ML). SageMaker Pipelines is a native workflow orchestration tool for building ML pipelines that take advantage of direct Amazon SageMaker integration. Three components improve the operational resilience and reproducibility of your ML workflows: pipelines, model […]
Products and Case Studies
AWS - Machine Learning - Amazon SageMaker
Machine learning for every developer and data scientist.
Case Study : Zocdoc Builds Patient Confidence Using Tensorflow
Zocdoc uses TensorFlow to match patients to doctors, reducing the wait time for appointments.
Save to LibraryCase Study : Formula 1 - Aws Fuels Analytics Through Machine Learning
Formula 1 Accelerates Cloud Transformation by Moving to AWS
Save to LibraryCase Study : Zendesk Enables Faster Customer Service Using Deep Learning
Speeding Development through Faster Deep-Learning Modeling
Save to Library
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Explainable, Responsible, and Trustworthy Artificial Intelligence
What it is and how to measure
Explainable, Responsible, and Trustworthy Artificial Intelligence
What it is and how to measure