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Supervised learning example explained with real-life use case

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
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'You know that there is a problem': Weissmann on DOJ resetting expectations on the Epstein files

Andrew Weissmann, former top official at Justice Department joins Nicolle Wallace on Deadline White House with live reaction to the first batch of official Epstein files released by Trump's Justice ...
IEEE

MSD-EMA: Multiscale Decoupled Expectation–Maximization Attention for Polyp Segmentation

Abstract: Automatic polyp segmentation is a crucial technique of computer-aided clinical diagnosis. However, some current polyp segmentation methods cannot accurately extract polyps from colonoscopy ...
Eurogamer

"There were zero expectations for Season 1" - Dispatch studio sounds set on Season 2, but it's got the difficult second album problem to contend with

A second season of Dispatch is being discussed "as seriously as anything" at AdHoc Studio, and the team will sit down any day now and make a decision about it. "People are mad that we haven't told ...
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
IEEE

Expectation-Maximization-Based Information Geometry Approach for Massive MIMO-OFDM Channel Estimation

Abstract: In this paper, we investigate the channel estimation in massive multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. Many channel estimation ...