Machine Learning Basics: Part2

Continuing on the previous step, Prof.Lai will continue to explain the types of machine learning. There are many other types of Machine learning, including semi-supervised learning, self-supervised learning, one-shot learning, and zero-shot learning.

We will first see the introduction of Data Types (Measurement Scales). Data types play an important role in selecting algorithms. We have talked about different algorithms in the first week.

Next, he will introduce four types: nominal, ordinal, interval, and ratio data. In summary, the nominal and ordinal data belong to discrete data, while interval and ratio belong to continuous data. Prof. Lai will explain more about the concept of Nominal Data, Ordinal Data, Interval Data, Ratio, and Metrics.

For the rest of the types of Machine learning, you could check on these references if you are interested.

• semi-supervised learning
• self-supervised learning
• one-shot learning
• zero-shot learning

Understanding each term will take a relatively longer time than usual studies. We would only recommend you try if you are interested. If you can’t finish, it will not interfere with your learning. Do continue to the next topic. We hope you find them useful for your benefits.