Favorite This post is co-written by Christopher Diaz, Sam Kinard, Jaime Hidalgo and Daniel Suarez from CCC Intelligent Solutions. In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence
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Shared by AWS Machine Learning January 21, 2023
Favorite Here are nine ways we use AI today to make our products even more helpful. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022
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Shared by Google AI Technology January 18, 2023
Favorite Amazon SageMaker JumpStart is the Machine Learning (ML) hub of SageMaker providing pre-trained, publicly available models for a wide range of problem types to help you get started with machine learning. Understanding customer behavior is top of mind for every business today. Gaining insights into why and how customers buy
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Shared by AWS Machine Learning January 18, 2023
Favorite Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Studio provides a web-based interface to interactively perform ML development tasks required to prepare data and build, train, and deploy ML models. In Studio, you can load data, adjust ML models, move
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Shared by AWS Machine Learning January 18, 2023
Favorite BigBlueButton is an Open Source virtual classroom started in 2007 by OSI sponsor, Blindside Networks. What differentiates… Click Here to View Original Source (opensource.org)
Favorite Google is using AI to help people facing disease and natural disasters, and to provide new opportunities for underserved communities. View Original Source (blog.google/technology/ai/) Here.
Favorite Today we published a paper outlining why we pursue AI. Read on for a preview, or visit ai.google to see the paper in full. View Original Source (blog.google/technology/ai/) Here.
Favorite From a post on Linked-In, and with permission of the author, here is another quantified KM value story. Jim Clarke, Knowledge Management Project Leader at The Goodyear Tire & Rubber Company, posted the following on Jan 13, 2023 “My KM team has deployed a customized Rapid Learning Cycle (RLC)
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Shared by Nick Milton January 16, 2023
Favorite This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement,
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Shared by AWS Machine Learning January 13, 2023
Shared by AWS Machine Learning January 21, 2023
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