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CatBoost: Boosting with Categorical Feature Power

Introduction While algorithms like XGBoost and LightGBM revolutionized gradient boosting, they still require significant feature engineering, especia

Introduction As datasets grow in size and complexity, machine learning models must balance accuracy, speed, and memory efficiency. While XGBoost set

Introduction In the world of machine learning competitions and real-world applications, XGBoost (Extreme Gradient Boosting) has established itself as

Introduction Machine learning often requires models that balance accuracy, robustness, and generalization. While Decision Trees are easy to interpret

Introduction While Decision Trees are simple and interpretable, they often suffer from overfitting and instability. To overcome these limitations, ma

Introduction Linear Regression is one of the simplest yet most widely used machine learning models. Despite its simplicity, it forms the foundation o

Introduction Agriculture is one of the oldest human industries, yet it faces modern challenges such as labor shortages, climate change, and the need

Introduction While industrial robots dominate factory floors, service robots are designed to assist humans directly in professional and personal sett

Introduction Swarm robotics is an innovative field that draws inspiration from nature—particularly the collective behavior of ants, bees, birds

Medan, 4 September 2025 – Dosen Universitas Medan Area (UMA) penerima hibah penelitian dan pengabdian kepada masyarakat (PKM) tahun 2025 menghadiri