Supervised Learning EssentialsIntroduces the basics of supervised learning, focusing on logistic regression, linear classification, and likelihood maximization.
Noise in ElectronicsIntroduces the fundamentals of noise in electronics, covering origins, signal types, power characteristics, and noise sources.
Comparison of Noise ModelsCompares diffusive noise and escape noise models in computational neuroscience, discussing simulation, calculation, and model fitting.
Noise in Optical ReceiversExplores noise in optical receivers, covering shot noise, thermal noise, signal-to-noise ratio, and noise limits.
