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Related lectures (30)
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Statistical Signal Processing
Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
Tissue-level Wave Patterns: Cellular Oscillators and Genetic Waves
Explores tissue-level wave patterns, cellular oscillators, genetic waves, and gene expression patterns in cellular differentiation.
Gitlab Agent for Kubernetes (`agentk`)
Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.
Data Science Visualization with Pandas
Covers data manipulation and exploration using Python with a focus on visualization techniques.
Finite Element Method: Applications and Formulations
Explores the application and formulation of the finite element method in solving various engineering problems.
Neurophysiological Data Analysis
Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.
Introduction to Data Science
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
File Management and Exception Handling in Python
Focuses on file management and exception handling in Python programming.
R Programming: Conditions, Loops, Functions & Graphics
Covers conditions, loops, functions, and graphics in R programming with practical examples.
Stochastic Endowment Consumption Model
Covers the stochastic endowment consumption model, log-linear transformation, impulse response solution, and Matlab codes.
