Answer :
Final answer:
The main difference between AI, ML, and DL is that AI is the broadest concept, ML focuses on learning from data, and DL uses complex neural networks. Equations 5.1.10 and 5.1.16 in ML involve calculating ML with different forms of available data.
Explanation:
The main differences between AI, ML, and DL revolve around their complexity and applications. Artificial Intelligence (AI) is a broad field that encompasses any technique that enables computers to mimic human behavior. Machine Learning (ML) is a subset of AI that involves teaching a machine how to learn from data to make decisions or predictions.
Lastly, Deep Learning (DL) is a subset of ML that uses neural networks with many layers (deep networks) to analyze complex patterns in large amounts of data. About the equations you mentioned, it appears you are discussing a specific context within Machine Learning that deals with the relationship between two variables, ML and L (or Lo).
Equation 5.1.10 requires knowledge of free L (which is often approximated by Lo when M is significantly smaller than Lo), while Equation 5.1.16 does not require this and allows the calculation of ML given initial values Lo, Mo, and a constant K. Both equations should yield the same result for ML when used correctly.
