Machine Learning Necessity

Understanding the need for machine learning stems from the limitations of formal logic in encoding complex reasoning. Simple probabilistic rules often outperform rigid, complex ones, especially when dealing with exceptions in language and classification, such as identifying images of fruits. This approach highlights the importance of flexibility in machine learning, paving the way for deeper methodologies like deep learning.