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Are you confused about the terms "Machine Learning" and "Artificial Intelligence"? In this video, we will explore the differences between the two and how they are related. Firstly, Artificial Intelligence (AI) refers to the broader concept of creating machines that can think and work like humans. It is an umbrella term that includes Machine Learning (ML) and other techniques such as Natural Language Processing, Robotics, and Computer Vision. On the other hand, Machine Learning is a subset of AI that focuses on the ability of machines to learn and improve from experience without being explicitly programmed. It involves feeding data to an algorithm, which then learns from the data and makes predictions or decisions based on that learning. In this video, we will discuss the key differences between Machine Learning and Artificial Intelligence, including their applications, algorithms, and limitations. We will also cover some real-world examples of how these technologies are being used in various industries. So, if you're interested in understanding the nuances between Machine Learning and Artificial Intelligence, and how they can impact our lives, then this video is for you! Don't forget to like, share, and subscribe for more informative content.

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