Favorite On December 1, 2020, we announced the preview of Amazon DevOps Guru, a machine learning (ML)-powered service that gives operators of cloud-based applications a simpler way to measure and improve an application’s operational performance and availability to reduce expensive downtime. Amazon DevOps Guru is a turn-key solution that helps

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Shared by AWS Machine Learning February 5, 2021

Favorite Imagine being able to schedule a meeting or get notified about updates in your code repositories without leaving your preferred messaging platform. This could save you time and increase productivity. With the advent of chatbots, these mundane tasks are now easier than ever. Amazon Lex, a service for building

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Shared by AWS Machine Learning February 3, 2021

Favorite AWS DeepRacer is the fastest way to get started with machine learning (ML). You can train reinforcement learning (RL) models by using a 1/18th scale autonomous vehicle in a cloud-based virtual simulator and compete for prizes and glory in the global AWS DeepRacer League. We’re excited to bring you

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Shared by AWS Machine Learning February 3, 2021

Favorite Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). Amazon Kendra supports English. This post provides a set of techniques to provide non-English language support when using Amazon Kendra. We demonstrate these techniques within the context of a question-answer chatbot use case

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Shared by AWS Machine Learning February 3, 2021

Favorite Amazon Lex is a service for building conversational interfaces into any application. The new Amazon Lex V2 Console and APIs make it easier to build, deploy, and manage bots. In this post, you will learn about about the 3 main benefits of Amazon Lex V2 Console and API, basic

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Shared by AWS Machine Learning February 3, 2021

Favorite As many companies place their focus on customer centricity, customer feedback becomes a top priority. However, as new laws are formed, for instance GDPR in Europe, collecting feedback from customers can become increasingly difficult. One means of collecting this feedback is via phone. When a customer calls an agency

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Shared by AWS Machine Learning February 2, 2021

Favorite Amazon SageMaker Debugger can monitor ML model parameters, metrics, and computation resources as the model optimization is in progress. You can use it to identify issues during training, gain insights, and take actions like stopping the training or sending notifications through built-in or custom actions. Debugger is particularly useful

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Shared by AWS Machine Learning February 2, 2021

Favorite AWS DeepRacer allows you to get hands on with machine learning (ML) through a fully autonomous 1/18th scale race car driven by reinforcement learning, a 3D racing simulator on the AWS DeepRacer console, a global racing league, and hundreds of customer-initiated community races. Pre-season qualifying underway We’re excited to

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Shared by AWS Machine Learning February 1, 2021

Favorite Hello and welcome to our first “This month in AWS Machine Learning” of 2021! Every day there is something new going on in the world of AWS Machine Learning—from launches to new to use cases to interactive trainings. We’re packaging some of the not-to-miss information from the ML Blog

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Shared by AWS Machine Learning February 1, 2021

Favorite Industrial companies have been collecting a massive amount of time-series data about operating processes, manufacturing production lines, and industrial equipment. You might store years of data in historian systems or in your factory information system at large. Whether you’re looking to prevent equipment breakdown that would stop a production

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Shared by AWS Machine Learning January 29, 2021