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Favorite Is the best approach to setting up and selecting Communities of Practice a managed one, or an unmanaged one? There has always been a polarity of views between those who see Communities of Practice as something that should be allowed to flourish naturally and unmanaged, springing up as a
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Shared by Nick Milton October 3, 2022
Favorite In this post, we demonstrate how Kubeflow on AWS (an AWS-specific distribution of Kubeflow) used with AWS Deep Learning Containers and Amazon Elastic File System (Amazon EFS) simplifies collaboration and provides flexibility in training deep learning models at scale on both Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon
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Shared by AWS Machine Learning October 1, 2022
Favorite AWS Panorama is a collection of machine learning (ML) devices and a software development kit (SDK) that brings computer vision to on-premises internet protocol (IP) cameras. AWS Panorama device options include the AWS Panorama Appliance and the Lenovo ThinkEdge SE70, powered by AWS Panorama. These device options provide you
Read More Shared by AWS Machine Learning October 1, 2022
Favorite Be our guest as we celebrate 20 years of AI/ML innovation on October 25, 2022, 9:00 AM – 10:30 AM PT. The first 1,500 people to register will receive $50 of AWS credits. Register here. Over the past 20 years, Amazon has delivered many world firsts for artificial intelligence
Read More Shared by AWS Machine Learning October 1, 2022
Favorite This post is co-authored by Salma Taoufiq and Harini Kannan from Sophos. As a leader in next-generation cybersecurity, Sophos strives to protect more than 500,000 organizations and millions of customers across over 150 countries against evolving threats. Powered by threat intelligence, machine learning (ML), and artificial intelligence from Sophos
Read More Shared by AWS Machine Learning September 30, 2022
Favorite Depending on the quality and complexity of data, data scientists spend between 45–80% of their time on data preparation tasks. This implies that data preparation and cleansing take valuable time away from real data science work. After a machine learning (ML) model is trained with prepared data and readied
Read More Shared by AWS Machine Learning September 30, 2022
Favorite Ten years from now, the technological fitness of clubs will be a key contributor towards their success. Today we’re already witnessing the potential of technology to revolutionize the understanding of football. xGoals quantifies and allows comparison of goal scoring potential of any shooting situation, while xThreat and EPV models
Read More Shared by AWS Machine Learning September 30, 2022
Favorite Pressing or pressure in football is a process in which a team seeks to apply stress to the opponent player who possesses the ball. A team applies pressure to limit the time an opposition player has left to make a decision, reduce passing options, and ultimately attempt to turn
Read More Shared by AWS Machine Learning September 30, 2022
Favorite GitHub is sponsoring Open Source Initiative’s Deep Dive: AI because we think it’s important for the community to unpack how open source software, process, and principles can help best deliver on the promise of AI. The post OSI’s Deep Dive is an essential discussion on the future of AI
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Shared by voicesofopensource September 29, 2022
Favorite Data scientists often train their models locally and look for a proper hosting service to deploy their models. Unfortunately, there’s no one set mechanism or guide to deploying pre-trained models to the cloud. In this post, we look at deploying trained models to Amazon SageMaker hosting to reduce your
Read More Shared by AWS Machine Learning September 28, 2022