Spotify tests more personalized, AI-powered ‘Prompted Playlists’
The playlists can factor in world knowledge, go back to your listening history from day one, and be refreshed daily or weekly.
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Politicians make the case for Downsize DC
Even obvious solutions are hard to execute The post Politicians make the case for Downsize DC appeared first on Downsize DC.
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Unveiling the BLEU Score: Your Guide to Judging Machine Translation Quality
Author(s): VARUN MISHRA Originally published on Towards AI. Unveiling the BLEU Score: Your Guide to Judging Machine Translation Quality Machine translation has come a long way, from clunky rule-based systems to sleek neural models like Transformers. But how do we know if a machine’s translation is any good? Enter the BLEU score — a go-to metric for evaluating machine translation quality. Short for Bilingual Evaluation Understudy, BLEU is like a judge that compares a machine’s output to human […]
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OK, what’s going on with LinkedIn’s algo?
Women ran an experiment to see if LinkedIn’s new algo was being sexist and thought they proved it. But there’s more complexity involved, experts say.
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The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel
In this article, we rebuild Logistic Regression step by step directly in Excel. Starting from a binary dataset, we explore why linear regression struggles as a classifier, how the logistic function fixes these issues, and how log-loss naturally appears from the likelihood. With a transparent gradient-descent table, you can watch the model learn at each iteration—making the whole process intuitive, visual, and surprisingly satisfying. The post The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel appeared […]
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GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems
Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost The post GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems appeared first on Towards Data Science.
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The Machine Learning “Advent Calendar” Day 9: LOF in Excel
In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances, and the final LOF score. Using tiny datasets, we see how two anomalies can look obvious to us but completely different to different algorithms. This reveals the key idea of unsupervised learning: there is no single “true” outlier, only definitions. Understanding these definitions is the real skill. The post The Machine Learning “Advent Calendar” Day 9: LOF in Excel appeared first on Towards […]
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The Machine Learning “Advent Calendar” Day 5: GMM in Excel
This article introduces the Gaussian Mixture Model as a natural extension of k-Means, by improving how distance is measured through variances and the Mahalanobis distance. Instead of assigning points to clusters with hard boundaries, GMM uses probabilities learned through the Expectation–Maximization algorithm – the general form of Lloyd’s method. Using simple Excel formulas, we implement EM step by step in 1D and 2D, and we visualise how the Gaussian curves or ellipses move during training. The means shift, […]
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3 Questions: How AI is helping us monitor and support vulnerable ecosystems
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being overexploited, and climate change. To better understand these changes and protect vulnerable wildlife, conservationists like MIT PhD student and Computer Science and Artificial Intelligence Laboratory (CSAIL) researcher Justin Kay are developing computer vision algorithms that carefully monitor animal populations. A member of the lab of MIT Department of Electrical Engineering and […]
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These developers are changing lives with Gemma 3n
From enhancing assistive technology to addressing the digital divide, developers built mobile-first solutions to address real-world problems in the Gemma 3n Impact Chall…
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