Onboarding Amazon SageMaker Studio with AWS SSO and Okta Universal Directory

Favorite In 2019, AWS announced Amazon SageMaker Studio, a unified integrated development environment (IDE) for machine learning (ML) development. You can write code, track experiments, visualize data, and perform debugging and monitoring within a single, integrated visual interface. Amazon SageMaker Studio supports a single sign-on experience with AWS Single Sign-On

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Shared by AWS Machine Learning October 2, 2020

Getting started with AWS DeepRacer community races

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. With AWS DeepRacer community races, you can

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Shared by AWS Machine Learning October 2, 2020

Creating a multi-department enterprise search using custom attributes in Amazon Kendra

Favorite An enterprise typically houses multiple departments such as engineering, finance, legal, and marketing, creating a growing number of documents and content that employees need to access. Creating a search experience that intuitively delivers the right information according to an employee’s role, and the department is critical to driving productivity

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Shared by AWS Machine Learning October 2, 2020

Building custom language models to supercharge speech-to-text performance for Amazon Transcribe

Favorite Amazon Transcribe is a fully-managed automatic speech recognition service (ASR) that makes it easy to add speech-to-text capabilities to voice-enabled applications. As our service grows, so does the diversity of our customer base, which now spans domains such as insurance, finance, law, real estate, media, hospitality, and more. Naturally,

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Shared by AWS Machine Learning October 1, 2020