by Gabriel Tam | Oct 31, 2026 | BTS Knowledge Hub, BTS Artificial Intelligence (AI)
Machine learning models use algorithms to find patterns in data and make predictions. However, the way a model learns can be influenced by various settings that control its behavior. These are known as hyperparameters, choosing appropriate values for them has a...
by Gabriel Tam | Oct 24, 2026 | BTS Knowledge Hub, BTS Artificial Intelligence (AI)
Machine learning models often work with datasets containing many different variables, these are known as features or attributes. Although they provide useful information, not all of them are equally relevant to a specific task. Having too many features increases...
by Gabriel Tam | Oct 17, 2026 | BTS Knowledge Hub, BTS Artificial Intelligence (AI)
The goal of machine learning models is to identify patterns in data and use them to make predictions or uncover relationships. However, building a model is only part of the process. It’s also important to determine how well the model performs and whether its results...
by Gabriel Tam | Oct 10, 2026 | BTS Knowledge Hub, BTS Artificial Intelligence (AI)
Machine learning models are designed to study patterns from data and use them to make predictions or identify relationships. However, before a model can be used in real world applications, it needs to be trained and tested. These two stages help determine whether a...
by Gabriel Tam | Oct 3, 2026 | BTS Knowledge Hub, BTS Artificial Intelligence (AI)
When building a machine learning model, it’s important for the model to learn useful patterns from the data without becoming too simple or closely focused on the examples it has already seen. Two common problems that can occur are known as overfitting and...
