Learning process in machine learning

In this video, Dr. Khanh will explain the learning process in machine learning. If you want to perform machine learning algorithms, how can machines learn? First, we need to provide the training data.

Like the chart, through the model, if we give training data, then we will receive testing accuracy and training accuracy. Then, he will explain another validation evaluation method, cross-validation testing. In the real case, using machine learning algorithms will meet a lot of problems. We call this overfitting or underfitting. He will explain why it affect the testing results. The final slide is a result return from Weka. Dr. Khanh will teach you how to read them.