Artificial intelligence and machine learning are two of the most talked-about topics in the tech world. But what’s the difference between them? And which one is right for your business? This article will explore the differences between AI and machine learning and discuss when each technology is best used.
Artificial Intelligence vs Machine Learning
At the most basic level, Artificial Intelligence (AI) is a branch of computer science that focuses on creating intelligent machines that can be programmed to think and act like humans. It typically involves using algorithms and data structures to build systems that can make decisions and solve problems based on their understanding. Examples of AI include personal assistant services such as Siri, autonomous vehicles, and virtual assistants.
On the other hand, Machine Learning (ML) is a subset of Artificial Intelligence focused on building algorithms and models that can learn from data without being explicitly programmed. ML uses advanced statistical techniques such as supervised learning, unsupervised learning, reinforcement learning, etc., to find patterns in large amounts of data and make predictions or decisions without human intervention.
We hope this information has been helpful to you.