Is data science a subset of artificial intelligence?
Data science and artificial intelligence are often discussed interchangeably. But there is a complex but essential difference between the two, which is why data science is not a subset of artificial intelligence. Let's explore both in deep.
Data science requires a certain amount of programming knowledge and an ability to extract meaning from data. These attributes align it with the field of artificial intelligence.
The difference between data science and AI
In recent years, the two technologies have begun to compete more and more heavily in the marketplace. While the two technologies are similar at their core, there are significant differences in how they are evolving. While both support basic statistical inference, there are considerable differences in how they support advanced functionality.
AI and data science are two very different fields. AI uses tools and methods from mathematics and computer science to create models that can be used to solve problems in an automated fashion. On the other hand, data science is a more general term for studying data in an attempt to understand it. The two have some overlap but are pretty different in nature.
AI is self-learning software that's learned how to interact with people, companies and its environment. Data science is the scientific study and discovery of patterns and relationships in data.
There is a subtle but important distinction to be made between data science and artificial intelligence. The phrase "artificial intelligence" is often used to describe analytical systems that are governed by pre-set rules. These systems are sometimes called "general purpose computing" and can be helpful for simple tasks like pattern recognition, object detection and health care. On the other hand, data science involves applying algorithms to create systems that understand human behavior and can adapt by learning from past experiences and observing how people interact with the environment.
In a nutshell, a lot of data science vs artificial intelligence is still to be discussed. Data, science, and artificial intelligence are two aspects of Information Technology. Both are essential for developing advanced software and hardware. The two most common fields of study in artificial intelligence today are philosophy and engineering. Data science involves attempting to solve complex problems with data; AI consists of developing algorithms to find solutions to these problems.
Data science can be related to AI but is not a subset of AI. An individual with a broader skillset may have both data science and artificial intelligence elements.
