What are adaptive algorithms and how do they work?
Adaptive algorithms are methods that adjust their parameters based on input data to improve performance over time.
Can you give me an example of an adaptive algorithm?
Sure! A common example is the Adaptive Learning Rate algorithm used in training neural networks.
How do these algorithms learn from data?
They analyze patterns in the data and modify their behavior to optimize outcomes, often using feedback loops.
What are the benefits of using adaptive algorithms?
They can improve accuracy, efficiency, and adaptability in various applications, from finance to healthcare.
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