In the tech world, terms like Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are often used interchangeably, causing confusion. Here’s a clear breakdown: Artificial Intelligence (AI) is a broad field focused on creating machines that exhibit human-like intelligence. It encompasses various technologies, including Machine Learning and Deep Learning. Machine Learning (ML) is a subset of AI that enables computers to learn from data and patterns. Examples include Netflix’s movie recommendations and Amazon’s product suggestions, where the system learns from user activity. Deep Learning (DL) is a further specialization within ML, where algorithms learn and adapt independently based on external data. A prime example is a self-driving car, which continuously adjusts to new information without manual intervention. In summary, while AI is the overarching science, ML and DL are specialized areas within it, with increasing levels of complexity and autonomy. Curious about how AI can benefit your business? Contact us! Read original post on https://4bis.nl/en/blog/software-modernisation/artificial-intelligence-vs-machine-learning-this-is-the-difference