Favorite Fraud detection is an important problem that has applications in financial services, social media, ecommerce, gaming, and other industries. This post presents an implementation of a fraud detection solution using the Relational Graph Convolutional Network (RGCN) model to predict the probability that a transaction is fraudulent through both the
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Shared by AWS Machine Learning March 1, 2023
Favorite In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. It enables them to unlock the value of their data, identify trends, patterns, and predictions, and differentiate themselves from their competitors. For example, in the healthcare industry, ML-driven analytics can
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Shared by AWS Machine Learning March 1, 2023
Favorite Posted by Natasha Noy, Research Scientist, and Omar Benjelloun, Software Engineer, Google Research Access to datasets is critical to many of today’s endeavors across verticals and industries, whether scientific research, business analysis, or public policy. In the scientific community and throughout various levels of the public sector, reproducibility and
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Shared by Google AI Technology February 28, 2023
Favorite Posted by Posted by Leslie Yeh, Director, University Relations (This is Part 9 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Sharing knowledge is essential to Google’s research philosophy — it accelerates technological progress and
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Shared by Google AI Technology February 28, 2023
Favorite ClearlyDefined has a new community manager! Nick Vidal has joined the project hosted by the Open Source Initiative (OSI) that helps Open Source projects thrive by putting essential licensing data at teams’ fingertips. Vidal comes with 20 years of experience developing Open Source communities and will lead ClearlyDefined to
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Shared by voicesofopensource February 28, 2023
Favorite Model tuning is the experimental process of finding the optimal parameters and configurations for a machine learning (ML) model that result in the best possible desired outcome with a validation dataset. Single objective optimization with a performance metric is the most common approach for tuning ML models. However, in
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Shared by AWS Machine Learning February 28, 2023
Favorite Meet Google for Startups Black Founders Fund recipients from Africa, Brazil, Europe and the United States using Google AI technology to help people and society. View Original Source (blog.google/technology/ai/) Here.
Favorite Knowledge has a half-life, and that half-life is getting shorter every year. When John Browne was CEO at BP, he talked about “the shrinking half-life of ideas”. This always struck me as a very interesting concept; one which was fundamental to Browne’s approach to corporate KM. I have since found that
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Shared by Nick Milton February 27, 2023
Favorite Amazon SageMaker multi-model endpoints (MMEs) provide a scalable and cost-effective way to deploy a large number of machine learning (ML) models. It gives you the ability to deploy multiple ML models in a single serving container behind a single endpoint. From there, SageMaker manages loading and unloading the models
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Shared by AWS Machine Learning February 25, 2023
Favorite In recent years, advances in computer vision have enabled researchers, first responders, and governments to tackle the challenging problem of processing global satellite imagery to understand our planet and our impact on it. AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art
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Shared by AWS Machine Learning February 25, 2023
Shared by AWS Machine Learning March 1, 2023
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