AI & ML 사전-glossary for AI/ML concepts explained.

Example

Providing detailed explanations of technical terms like 'supervised learning' or 'convolutional neural networks'.

Scenario

A student studying machine learning may need a precise understanding of supervised learning to complete a project. They can consult AI & ML 사전 for a full breakdown of the term, its applications, and typical algorithms used in this learning paradigm.

Example

Showing real-world use cases for algorithms such as reinforcement learning in robotics or autonomous systems.

Scenario

An engineer working in autonomous vehicle development may need to know how reinforcement learning is applied in training autonomous agents to make decisions in complex environments. AI & ML 사전 provides both the conceptual definition and practical application examples, such as how Google DeepMind's AlphaGo used reinforcement learning.

Example

Linking concepts like 'deep learning' with related topics such as 'neural networks' and 'backpropagation.'

Scenario

A researcher looking into deep learning techniques might also need information on backpropagation, an essential concept for training neural networks. AI & ML 사전 would not only explain each term but also cross-reference related ideas to provide a holistic understanding.