Mathematical Foundations for Deep LearningIntroduction to Calculus for Machine Learning

Calculus is essential for understanding optimization in machine learning. This course introduces you to the fundamental concepts of calculus such as functions, limits, derivatives, and integrals.

Evaluate Exponential Function

Define and Evaluate a Linear Function

Define and Plot a Cubic Function

Define and Plot a Sine Function

Modify Quadratic Function to Vertex at Origin

Modeling Temperature Change Over a Day

Plotting Maintenance Cost of a Garden

Plotting a Complex Mathematical Function

Compute Limit of Linear Function

Limit of Absolute Value Function as x Approaches 0

Calculating Limits for a Rational Function at an Undefined Point

Approaching From Both Sides

Approximate Derivative of Cubic Function

Calculate the Derivative of a Function at Given Points

Calculate and Compare Derivatives of a Linear Function

Plot and Calculate Derivative of a Quadratic Function

Calculate the Derivative of a Decaying Exponential Function

Calculate Acceleration Using Derivatives

Plotting a Constant Function and Its Derivative

Plotting a Linear Function and Its Derivative

Plotting a Quadratic Function and Its Derivative

Plotting a Cubic Function and Its Derivative

Plot Quadratic Function and Its Derivative to Find Minimum

Adjust the Limits of Integration

Complete the Trapezoidal Rule Integral and Plot the Graph

Compare Areas Under Two Functions Using Trapezoid Rule

Car Fuel Consumption Integral Calculation

Calculate the Integral from Negative Infinity to Infinity