What are the limits of machine learning?
An example of an AI chatbot conversation about the boundaries of machine learning capabilities.
What are the limits of machine learning?
Machine learning has several limits, including data dependency, interpretability, and generalization issues.
Can you explain what you mean by data dependency?
Sure! Machine learning models require large amounts of quality data to learn effectively. Without sufficient data, their performance can suffer.
What about interpretability? Why is that a limit?
Interpretability refers to how easily humans can understand the decisions made by a model. Many complex models, like deep learning, are often seen as 'black boxes'.
Are there any ethical limits to machine learning?
Yes, ethical limits include bias in data, privacy concerns, and the potential for misuse of AI technologies.
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