The Artificial Intelligence vs Machine Learning debate has been around for decades. Still, it continues to dominate discussions on the future of Artificial Intelligence. There are many different types of AI, and some are more relevant than others when considering this question.
What is the difference between them?
AI can be described as a field of study that aims to create intelligent machines. It has been around for many years, and there are different types of AI, but they all share one common goal: To create machines that can think and act like humans. In contrast, ML is a subset of AI that focuses on giving computers to learn from data without being explicitly programmed. This means that ML algorithms can automatically improve given more data.
One important distinction between them is that AI systems always require human input to design and program them. In contrast, ML systems can learn from data without human input. AI must be programmed, while ML learns through training and experience.
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