Machine Learning

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 Read more…

By Alexa, 2 weeks ago

APN

Say Hello to 129 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in December

The AWS Partner Network (APN) is the global community of Partners who leverage Amazon Web Services (AWS) to build solutions and services for customers. We enable AWS Partners to build, market, and sell their AWS offerings, and we help customers identify AWS Partners uniquely positioned to help businesses accelerate their Read more…

By Alexa, 2 weeks ago

Architecture

Automating Recommendation Engine Training with Amazon Personalize and AWS Glue

Customers from startups to enterprises observe increased revenue when personalizing customer interactions. Still, many companies are not yet leveraging the power of personalization, or, are relying solely on rule-based strategies. Those strategies are effort-intensive to maintain and not effective. Common reasons for not launching machine learning (ML) based personalization projects Read more…

By Alexa, 2 weeks ago

Machine Learning

AWS Announces the global expansion of AWS CCI Solutions

We’re excited to announce the global availability of AWS Contact Center Intelligence (AWS CCI) solutions powered by AWS AI Services and made available through the AWS Partner Network. AWS CCI solutions enable you to leverage AWS machine learning (ML) capabilities with your current contact center provider to gain greater efficiencies Read more…

By Alexa, 2 weeks ago

Machine Learning

Hosting a private PyPI server for Amazon SageMaker Studio notebooks in a VPC

Amazon SageMaker Studio notebooks provide a full-featured integrated development environment (IDE) for flexible machine learning (ML) experimentation and development. Security measures secure and support a versatile and collaborative environment. In some cases, such as to protect sensitive data or meet regulatory requirements, security protocols require that public internet access be Read more…

By Alexa, 2 weeks ago

Machine Learning

Artificial intelligence and machine learning continues at AWS re:Invent

A fresh new year is here, and we wish you all a wonderful 2021. We signed off last year at AWS re:Invent on the artificial intelligence (AI) and machine learning (ML) track with the first ever machine learning keynote and over 50 AI/ML focused technical sessions covering industries, use cases, Read more…

By Alexa, 2 weeks ago

Machine Learning

Accelerating MLOps at Bayer Crop Science with Kubeflow Pipelines and Amazon SageMaker

This is a guest post by the data science team at Bayer Crop Science. Farmers have always collected and evaluated a large amount of data with each growing season: seeds planted, crop protection inputs applied, crops harvested, and much more. The rise of data science and digital technologies provides farmers Read more…

By Alexa, 3 weeks ago

Machine Learning

Implementing a custom labeling GUI with built-in processing logic with Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth is a fully managed data labeling service that makes it easy to build highly accurate training datasets for machine learning. It offers easy access to Amazon Mechanical Turk and private human labelers, and provides them with built-in workflows and interfaces for common labeling tasks. A labeling Read more…

By Alexa, 3 weeks ago

Machine Learning

Building a secure search application with access controls using Amazon Kendra

For many enterprises, critical business information is often stored as unstructured data scattered across multiple content repositories. Not only is it challenging for organizations to make this information available to employees when they need it, but it’s also difficult to do so securely so relevant information is available to the Read more…

By Alexa, 3 weeks ago

Machine Learning

Extracting buildings and roads from AWS Open Data using Amazon SageMaker

Sharing data and computing in the cloud allows data users to focus on data analysis rather than data access. Open Data on AWS helps you discover and share public open datasets in the cloud. The Registry of Open Data on AWS hosts a large amount of public open data. The datasets range from Read more…

By Alexa, 4 weeks ago