How does machine learning use optimization?
An example of an AI chatbot conversation about how optimization is used in machine learning.
Can you explain how optimization is used in machine learning?
Sure! Optimization in machine learning is the process of adjusting model parameters to minimize errors and improve performance.
What are some common optimization algorithms used?
Some common optimization algorithms include Gradient Descent, Stochastic Gradient Descent, and Adam.
How does Gradient Descent work?
Gradient Descent works by iteratively adjusting parameters in the direction of the steepest decrease of the loss function.
Are there any challenges with optimization in machine learning?
Yes, challenges include local minima, overfitting, and the choice of learning rate.
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