What are iterative algorithms in machine learning?
An example of an AI chatbot conversation about iterative algorithms in machine learning.
What are iterative algorithms in machine learning?
Iterative algorithms are methods that repeatedly refine their solutions based on previous iterations, commonly used in optimization.
Can you give me an example of an iterative algorithm?
Sure! Gradient descent is a popular iterative algorithm used to minimize the loss function in machine learning models.
How does gradient descent work?
Gradient descent works by calculating the gradient of the loss function and updating the model parameters in the opposite direction.
What are the advantages of using iterative algorithms?
They can handle large datasets and complex models, often leading to better convergence and optimization results.
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