Linear Systems: Modeling and Identification

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Related lectures (53)

Feature Engineering: Missing Data and Standardization Log in to Mediaspace to watch this video

Covers techniques for handling missing data and standardizing features, as well as transforming input and output data.

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Decision Trees: Regression and Classification Log in to Mediaspace to watch this video

Covers decision trees for regression and classification, explaining tree construction, feature selection, and criteria for induction.

Polynomial Regression and Gradient Descent Log in to Mediaspace to watch this video

Covers polynomial regression, gradient descent, overfitting, underfitting, regularization, and feature scaling in optimization algorithms.

Machine Learning Applications: Regression and Classification Log in to Mediaspace to watch this video

Explores machine learning applications in materials modeling, covering regression, classification, and feature selection.

Quantile Regression: Linear Optimization Log in to Mediaspace to watch this video

Covers quantile regression, focusing on linear optimization for predicting outputs and discussing sensitivity to outliers, problem formulation, and practical implementation.

Statistical Models and Parameter Estimation Log in to Mediaspace to watch this video

Explores statistical models, parameter estimation, and sampling distributions in probability and statistics.

Deep Learning: Multilayer Perceptron and Training Log in to Mediaspace to watch this video

Covers deep learning fundamentals, focusing on multilayer perceptrons and their training processes.

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Multivariate Time Series: Cointegration & Forecasting Log in to Mediaspace to watch this video

Explores multivariate time series analysis, cointegration, forecasting with ARMA models, and practical applications in interest rates analysis.

Model Evaluation Log in to Mediaspace to watch this video

Explores underfitting, overfitting, hyperparameters, bias-variance trade-off, and model evaluation in machine learning.

General Linear Model: Model Selection Log in to Mediaspace to watch this video

Explores the General Linear Model, significance testing, model selection, and parameter inference.

Feature Selection, Kernel Regression, Neural Networks Playground Log in to Mediaspace to watch this video

Covers feature selection, kernel regression, and neural networks through exercises.

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