ECE 2720

• Measures of Central Tendency

Optimization

• Optimization 1
• Numerical Optimization
• Optimization 2
• [Gradient Descent]
• [Newtons Method]
• [Convexity]

Probability

• [Expected Value]
• [Independence]
• [Variance and Covariance]
• [Conditional Probability]
• Laws of Probability
• [Markov Models]
• [Distributions]

Statistics

• [Maximum Likelihood]
• [Regression Models]
• [Overfitting]
• [P-Hacking]

Machine Learning

• [Classification]
• [K-Nearest Neighbors]
• [Support Vector Machines]
• [Discrete Fourier Transform]