机器学习中最常见的类别是什么？What is the most common category of machine learning?

Question

BlackTom AI · Accepted Answer

When considering the landscape of machine learning categories, several options are commonly discussed, each with its own typical use cases and data requirements.
Option 1: 监督学习 Supervised Learning. This category involves learning a mapping from inputs to labeled outputs, using large datasets of input–output pairs. It is widely used across many practical applications such as classification and regression because labeled data are often available or can be obtained, and the training objective is clear. This practicality and versatility contribute to it being the most commonly encountered category in real-world ML work.
Option 2: 自主监督学习 Self-supervised Learning. This approach leverages unlabeled data by creating auxiliary tasks from the data itself to learn representations. While it has grown rapidly and is powerful for representation learning, it is not as universally dominant as supervised learning in everyday applications, since many downstream tasks still rely on labeled data for final predictive models.
Option 3: 强化学习 Reinforcement Learning. RL focuses on agents taking actions in an environment to maximize cumulative reward, often requiring carefully designed environments and simulations. It is highly prominent in areas like robotics and game playing but represents a smaller portion of the day-to-day ML workload compared with supervised learning, which covers a broader range of standard predictive problems.
Option 4: 无监督学习 Unsupervised Learning. This category deals with learning from unlabeled data to discover structure, patterns, or representations. It is foundational for tasks like clustering and dimensionality reduction, but it is not generally as widely applied across diverse, practical prediction problems as supervised learning, which directly maps inputs to labeled outcomes.
Overall, while all these categories are important and active areas of research and application, supervised learning stands out as the most common category encountered in typical machine learning workflows due to its straightforward objective, plentiful labeled data, and broad applicability across many domains.

2025FallB-X-CSE571-78760 模块 1: 机器学习简介知识检查 Module 1: Intro to Machine Learning Knowledge Check

机器学习中最常见的类别是什么？What is the most common category of machine learning?

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