Tag: practical
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A Practical Toolkit for Time Series Anomaly Detection, Using Python
A Practical Toolkit for Time Series Anomaly Detection, Using Python Here’s how to detect point anomalies within each series, and identify anomalous signals across the whole bank The post A Practical Toolkit for Time Series Anomaly Detection, Using Python appeared first on Towards Data Science. Piero Paialunga Go to original source
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LLM-as-a-Judge: A Practical Guide
LLM-as-a-Judge: A Practical Guide How to Scale LLM Evaluations Beyond Manual Review The post LLM-as-a-Judge: A Practical Guide appeared first on Towards Data Science. Shuai Guo Go to original source
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A Practical Introduction to Google Analytics
A Practical Introduction to Google Analytics Learn the key concepts and reports of Google Analytics while practising with the platform The post A Practical Introduction to Google Analytics appeared first on Towards Data Science. Eugenia Anello Go to original source
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A Practical Introduction to Kernel Discrepancies: MMD, HSIC & KSD
A Practical Introduction to Kernel Discrepancies: MMD, HSIC & KSD arXiv:2503.04820v1 Announce Type: new Abstract: This article provides a practical introduction to kernel discrepancies, focusing on the Maximum Mean Discrepancy (MMD), the Hilbert-Schmidt Independence Criterion (HSIC), and the Kernel Stein Discrepancy (KSD). Various estimators for these discrepancies are presented, including the commonly-used V-statistics and U-statistics,…
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A Practical Exploration of Sora — Intuitively and Exhaustively Explained
A Practical Exploration of Sora — Intuitively and Exhaustively Explained A new cutting edge video generation tool, and the theory behind it Continue reading on Towards Data Science » Daniel Warfield Go to original source