by Gabriel Tam | May 23, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub
Random Forest is a supervised machine learning algorithm used for both classification and regression tasks. It is based on the idea of combining multiple decision trees to produce a stronger and more reliable model. Instead of relying on a single tree, Random Forest...
by Gabriel Tam | May 16, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub
Minimum Description Length, often shortened to MDL, is a principle used in machine learning and data analysis to help identify models that best explain a dataset while avoiding unnecessary complexity. The main idea behind MDL is that the best model is one that...
by Gabriel Tam | May 9, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub
Neural networks are a machine learning technique inspired by the way the human brain processes information. They are designed to recognize patterns, learn from data, and make predictions by analyzing relationships between inputs and outputs. Neural networks are...
by Gabriel Tam | May 2, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub
Decision trees are a supervised machine learning technique used for both classification and regression tasks. They work by breaking down a problem into a series of simple decisions, creating a tree like structure of rules that lead to a final outcome. Each step in the...
by Gabriel Tam | Apr 25, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub
XGBoost, short for Extreme Gradient Boosting, is a powerful machine learning algorithm used mainly for supervised learning tasks such as classification and regression. It is based on the idea of combining multiple simple models, typically decision trees, to create a...
