Favorite In this post, we show you how to use Amazon Rekognition and AWS DeepLens to detect, and analyze occupancy in a retail business to optimize workforce utilization. Retailers often need to make decisions to improve the in-store customer experience through personnel management. Having too few or too many employees

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Shared by AWS Machine Learning July 9, 2021

Favorite Amazon SageMaker helps data scientists and developers prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. SageMaker accelerates innovation within your organization by providing purpose-built tools for every step of ML development, including labeling, data preparation,

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Shared by AWS Machine Learning July 9, 2021

Favorite In this post, you learn how to create a MLOps project to automate the deployment of an Amazon SageMaker endpoint with multiple production variants for A/B testing. You also deploy a general purpose API and testing infrastructure that includes a multi-armed bandit experiment framework. This testing infrastructure will automatically

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Shared by AWS Machine Learning July 9, 2021

Favorite Hugging Face is the technology startup, with an active open-source community, that drove the worldwide adoption of transformer-based models thanks to its eponymous Transformers library. Earlier this year, Hugging Face and AWS collaborated to enable you to train and deploy over 10,000 pre-trained models on Amazon SageMaker. For more

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Shared by AWS Machine Learning July 8, 2021

Favorite At AWS, we love sharing our passion for technology and innovation, and AWS DeepComposer is no exception. This service is designed to help everyone learn about generative artificial intelligence (AI) through the language of music. You can use a sample melody, upload your own melody, or play a tune

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Shared by AWS Machine Learning July 8, 2021

Favorite As the prevalence of machine learning (ML) and artificial intelligence (AI) grows, you need the best mechanisms to aid in the experimentation and development of your algorithms. You might begin with the several built-in algorithms in Amazon SageMaker that simply require you to point the algorithm at your data

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Shared by AWS Machine Learning July 6, 2021

Favorite Financial institutions invest heavily to automate their decision-making for trading and portfolio management. In the US, the majority of trading volume is generated through algorithmic trading. [1] With cloud computing, vast amounts of historical data can be processed in real time and fed into sophisticated machine learning (ML) models.

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Shared by AWS Machine Learning July 6, 2021

Favorite In this post, we look at how we can automate the detection of anomalies in a manufactured product using Amazon Lookout for Vision. Using Amazon Lookout for Vision, you can notify operators in real time when defects are detected, provide dashboards for monitoring the workload, and get visual insights

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Shared by AWS Machine Learning July 2, 2021

Favorite There is nothing more exhilarating than getting the keys to your first car or driving off the lot with the car of your dreams. Sadly, that exhilaration can quickly fade to frustration when your car is damaged. Working through the phone calls, emails, and damage reports with your insurance

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Shared by AWS Machine Learning June 29, 2021

Favorite AWS customers are increasingly using computer vision (CV) models for improved efficiency and an enhanced user experience. For example, a live broadcast of sports can be processed in real time to detect specific events automatically and provide additional insights to viewers at low latency. Inventory inspection at large warehouses

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Shared by AWS Machine Learning June 25, 2021