Definition
A branch of mathematics focused on continuous change, essential for optimizing AI models and understanding rates of change in data.
Detailed Explanation
Calculus provides the mathematical framework for understanding how functions change continuously. It encompasses differential calculus (rates of change and derivatives) and integral calculus (accumulation and areas). In AI, calculus is fundamental for gradient descent, backpropagation, and optimization of loss functions. It helps in understanding the behavior of complex models and finding optimal solutions.
Use Cases
Training neural networks, optimization algorithms, modeling continuous processes, gradient-based learning
