Calculus

• Basic Concepts of Derivatives and Integrals

• Derivatives

• Partial Derivatives and gradient vectors

• Chain Rule and Backpropagation

• Functions and Limits

• Basic differentiation rules

• Partial derivatives and gradient vectors

• Optimization

• Finding minima and maxima of functions

• Gradient descent Optimization algorithm: concepts and applications

• Multivariable Calculus

• Understanding functions of several variables

• Jacobian and Hessian matrices

• Derivatives and gradients in AI model optimization

• Integration and its use in probability for AI

• Series and sequences for prediction models and time series analysis