Throughout this article, we define Artificial Intelligence, outline its scope, and show you some of its benefits. But how do we differentiate it from Machine Learning?
The concept of AI emerged in the late 1960s, with the first technological discoveries. At that time, it was discovered that machines could study the human phone number list learning process and reproduce it step by step.
Advances over time have allowed technology to progress further and further, leading to new developments such as Machine Learning.
Machine learning is, in simple terms, the use of algorithms to analyze data, learn from it, and then, based on that information, act on it or make a prediction.
The key to Machine Learning is precisely the ability of machines to improve their performance through previous experiences.
So instead of working with programs where you have to input instructions to get a result, you work with a machine trained to learn how to perform a certain task through data and algorithms.
The main difference, then, is that within AI we can find increasingly innovative applications that include, for example, Machine Learning.