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How Travelers Insurance classified emails with Amazon Bedrock and prompt engineering

AWS Machine Learning Blog

This is a guest blog post co-written with Jordan Knight, Sara Reynolds, George Lee from Travelers. Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset.

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Five machine learning types to know

IBM Journey to AI blog

What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Here, we’ll discuss the five major types and their applications. the target or outcome variable is known).

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ALT Highlights – An Interview with Joelle Pineau

Machine Learning (Theory)

Welcome to ALT Highlights, a series of blog posts spotlighting various happenings at the recent conference ALT 2021 , including plenary talks, tutorials, trends in learning theory, and more! To reach a broad audience, the series will be disseminated as guest posts on different blogs in machine learning and theoretical computer science.

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Genomics England uses Amazon SageMaker to predict cancer subtypes and patient survival from multi-modal data

AWS Machine Learning Blog

Improvements using foundation models Despite yielding promising results, PORPOISE and HEEC algorithms use backbone architectures trained using supervised learning (for example, ImageNet pre-trained ResNet50). Tamas helped customers in the Healthcare and Life Science vertical to innovate through the adoption of Machine Learning.

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Meet the winners of the Video Similarity Challenge!

DrivenData Labs

Self-supervision: As in the Image Similarity Challenge , all winning solutions used self-supervised learning and image augmentation (or models trained using these techniques) as the backbone of their solutions. Yi Yang is a Professor with the college of computer science and technology, Zhejiang University.

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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

These computer science terms are often used interchangeably, but what differences make each a unique technology? To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. This blog post will clarify some of the ambiguity.

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How Carrier predicts HVAC faults using AWS Glue and Amazon SageMaker

AWS Machine Learning Blog

Conclusion In this post, we showed how our team used AWS Glue and SageMaker to create a scalable supervised learning solution for predictive maintenance. Yingwei received his PhD in computer science from Texas A&M University. candidate in computer science at UNC-Charlotte. The remaining 8.4%

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