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Machine Learning Basics: Part1


In this video, Prof. Lai, Kuan-Ting will teach the basics of machine learning.

Machine learning is a subset of artificial intelligence. Machine learning algorithms build a statistical model based on sample data, which is also called “training data“. The training process is also called “learning”. The model can then used to make predictions or classification, such as predicting real-state prices, classifying dog types, and detecting objects.

There are two diagrams that show the difference between machine learning and classical programming. About classical programming, all the functions and rules are defined and implemented by human experts. On the other hand, machine learning can automatically learn the rules from training data and answers.

Then he will talk about the machine learning flow chart. The machine learning flow can be roughly divided into four stages. In the next part, he will tall the classification of Machine learning.

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