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Unveiling the Revolution: Demystifying ML and AI Concepts for a Cutting-Edge Future     Machine learning and artificial intelligence are two of the most talked about and disruptive technologies of our time. On the surface, they may seem similar - using computing power and algorithms to perform tasks that typically require human intelligence. However, there are several key differences and nuances between these two fields that are important to understand. This essay aims to unravel and clarify some of the fundamental concepts underpinning ML and AI. Defining Machine Learning Machine learning refers to the use of statistical models and algorithms that improve and "learn" automatically through experience without being explicitly programmed. Rather than coding software routines with specific instructions to accomplish a task, machine learning uses historical data and statistical analysis to build predictive models. As new data is fed into these models, they continue to refine the...