MIDTERM - Intelligent System

It is the study of learning algorithms.

• Machine learning

• Artificial Learning

• Artificial Intelligence

• Machine Intelligence

It allows a computer to compare its answers with standard ones when handling multiple-choice questions.

• Semi-supervised Learning

• Unsupervised Learning

• Supervised Learning

• Reinforcement Learning

It is mainly used to solve multi-step decision-making problems in scenarios such as chess, electronic games, and visual navigation.

• Semi-supervised Learning

• Unsupervised Learning

• Supervised Learning

• Reinforcement Learning

It is a fusion of supervised learning and unsupervised learning.

• Semi-supervised Learning

• Unsupervised Learning

• Supervised Learning

• Reinforcement Learning

It is like letting a computer handle multiple-choice questions without telling it the right answers.

• Semi-supervised Learning

• Unsupervised Learning

• Supervised Learning

• Reinforcement Learning

It is a collection of data used in machine learning tasks.

• dataset

• training set

• test set

• data cleansing

It is a dataset used in the training process, where each sample is referred to as a training sample.

• dataset

• training set

• test set

• data cleansing

It is the process of creating a model from data.

• dataset

• training set

• test set

• data cleansing

It is a process of filling in missing values, as well as detecting and eliminating exceptions.

• dataset

• training set

• test set

• data cleansing

It contains missing values or data that lacks attributes.

• Noise

• Incompleteness

• Inconsistency

• data cleansing