Exponential Moving Average — 2 Technical Articles

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

0 likes · 15 min read

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

AI Algorithm Path

Aug 2, 2025 · Artificial Intelligence

Deep Learning Optimizers Demystified: Momentum, AdaGrad, RMSProp & Adam Explained

This article breaks down the core deep‑learning optimizers—gradient descent, Momentum, AdaGrad, RMSProp and Adam—showing why vanilla gradient descent converges slowly, how each method uses exponential moving averages to accelerate training, and why Adam is generally the preferred choice.

AdaGradAdamExponential Moving Average

0 likes · 8 min read

Deep Learning Optimizers Demystified: Momentum, AdaGrad, RMSProp & Adam Explained