Introduction to Data ScienceIntroduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Internal Heat Transfer EffectsCovers internal heat transfer effects in heterogeneous reactions, emphasizing dimensionless numbers and transport effects.
Spectral Estimation MethodsExplores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Statistical Signal ProcessingCovers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
