What is the definition of AI and how does it differ from machine learning?
Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably, but they are actually distinct concepts
. AI is the broader term that refers to the general ability of computers to emulate human thought and perform tasks in real-world environments
. On the other hand, ML is a subset of AI that uses algorithms trained on data to produce models that can perform complex tasks
. Here are some key differences between AI and ML: Artificial Intelligence (AI):
- Refers to the general ability of computers to emulate human thought and perform tasks in real-world environments12345.6
- Can analyze and contextualize data to provide information or automatically trigger actions without human interference.1
- Can mimic and go beyond human capabilities.1
- Includes several strategies and techniques to make machines more human-like.4
- Is a subset of AI that uses algorithms trained on data to produce models that can perform complex tasks2345.6
- Allows machines to extract knowledge from data and learn from it autonomously.3
- Is the process of using mathematical models of data to help a computer learn without direct instruction.5
- Is distinguished by a machine or program that is fed and trained on existing data and then is able to find patterns, make predictions, or perform tasks when it encounters data it has never seen before.6
What are some examples of AI applications?
How is machine learning used in industry?
What are the benefits of using AI?