Is Data Science and ML Part of Artificial Intelligence ?
These days, terms like data science, machine learning and artificial intelligence are sometimes mentioned interchangeably, albeit incorrectly.
In this post, we’ve outlined the relation between these technologies. But first, let’s have a quick look at what each of them stands for.
Data Science
- Data Science is a process to extract insight from the data using Feature Engineering, Feature Selection, Machine learning, etc. to solve the real-world business problem.
- Data science has an intersection with artificial intelligence but is not a subset of artificial intelligence.
- Data Science is the Art and Science of drawing actionable insights from the data.
- Applications: Retail, Bank, E-Commerce, Healthcare, and Telecom, etc.
Artificial Intelligence
- Artificial Intelligence is the study of computer science that makes a machine which can mimic human without explicitly programmed.
- Artificial Intelligence, the term was meant to describe the goal that machines will be able to have humans like intelligence in the future. AI term originated in late 1956s.
Machine Learning
- Machine Learning(ML) is a subset of Artificial Intelligence(AI).
- Machine Learning has the ability to learn from experience(data) to solve the real-world problem without being explicitly programmed.
- It has the set of mathematical algorithms that train on a data set to make predictions or take actions in order to optimize some problem.
It has mainly three types:
- Supervise Learning
- Unsupervised Learning
- Reinforcement Learning
In the first model, a data set is present with inputs and known outputs. In the second one, the machine learns from a data set that comes with input variables only. In reinforcement learning model, algorithms are used to select an action.