What are some examples of machine learning algorithms?
There are several types of machine learning algorithms, including supervised, unsupervised, and reinforcement learning algorithms. Examples include linear regression, decision trees, k-means clustering, and neural networks.
Can you explain how a decision tree works?
Sure! A decision tree is a flowchart-like structure where each internal node represents a feature, each branch represents a decision rule, and each leaf node represents an outcome. It splits the data into subsets based on the feature values.
What is the difference between supervised and unsupervised learning?
Supervised learning uses labeled data to train models, while unsupervised learning works with unlabeled data to find patterns or groupings.
Can you give an example of a real-world application of neural networks?
Absolutely! Neural networks are widely used in image recognition, such as identifying objects in photos or facial recognition systems.
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