What are some basic AI models I can start learning about?
There are several basic AI models you can start with, such as linear regression, decision trees, and k-nearest neighbors.
Can you explain linear regression in simple terms?
Sure! Linear regression is a method used to predict a target variable by fitting a linear equation to observed data.
What about decision trees? How do they work?
Decision trees split data into branches based on feature values, making decisions at each node until reaching a final outcome.
Are there any resources you recommend for learning these models?
Yes! Websites like Coursera, edX, and Khan Academy offer great courses on these topics.
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