Aug 30, 2025 · Big Data

Which Time‑Series Smoothing Method Is Right for Your Data? A Deep Dive into Six Techniques

Noise in time‑series data hampers analysis, so this article systematically examines six widely used smoothing techniques—moving average, exponential moving average, Savitzky‑Golay, LOESS, Gaussian filter, and Kalman filter—detailing their principles, key parameters, performance traits, suitable scenarios, and a quantitative RPR evaluation metric.

Exponential Moving AverageKalman filterLOESS

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Which Time‑Series Smoothing Method Is Right for Your Data? A Deep Dive into Six Techniques

DataFunTalk

Jul 30, 2021 · Artificial Intelligence

Fundamentals of Natural Language Processing: Language Models, Smoothing, and Basic Tasks

This article provides a comprehensive overview of natural language processing fundamentals, covering the challenges of language modeling, N‑gram and Markov assumptions, smoothing techniques such as discounting and add‑one, evaluation via perplexity, basic tasks like Chinese word segmentation, subword tokenization, POS tagging, syntactic and semantic parsing, and a range of downstream applications including information extraction, sentiment analysis, question answering, machine translation, and dialogue systems.

AINLPSubword Tokenization

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Fundamentals of Natural Language Processing: Language Models, Smoothing, and Basic Tasks