Convolutional Neural NetworksCovers convolutional neural networks, filter operations, and their applications in signal processing and image analysis.
Signals, Instruments, and SystemsExplores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Filter Structures: Part 2Explores the geometric interpretation of filter responses and the challenges of achieving causal filters in real-time signal processing.
Linear Regression BasicsCovers the basics of linear regression in machine learning, including model training, loss functions, and evaluation metrics.
Bayesian Inference: Part 2Explores Bayesian inference, multiclass classification, logistic regression, and linear regression inference.
