Mood disorders and urban environment

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Related lectures (32)

Unsupervised Learning: Clustering & Dimensionality Reduction

Introduces unsupervised learning through clustering with K-means and dimensionality reduction using PCA, along with practical examples.

Urban Morphology and Morphogenesis

Explores urban morphology, self-organized urban systems, challenges in achieving the (Urban) Digital Twin concept, LASIG's spatial analysis contributions, and teaching geomatics.

Introduction: ESDA in environmental health

Introduces exploratory data analysis in environmental health, covering its definition, techniques, and applications in georeferenced health data analysis.

Statistical Analysis of Networks: Link Prediction and Biclustering

Explores link prediction, logistic regression, causal inference, and biclustering in statistical network analysis.

The Influence of Gut Microbiota on Mood and Weight

Delves into how gut bacteria influence mood, weight, and stress management through bidirectional communication with the brain.

Regression Models: Performance and Evaluation

Explores regression model performance, learning errors, and building regression trees using the CART algorithm.

Geographic Information Systems: Urban Morphology and Modeling

By Prof. François Golay explores GIS, urban morphology, challenges of Digital Twins, data-driven analytics, and LASIG's contributions.

K-Means: Implementation and Analysis

Covers the implementation and analysis of the K-Means algorithm, including centroid initialization, point assignment, and noise impact.

Principal Component Analysis: Dimensionality Reduction

Covers Principal Component Analysis for dimensionality reduction, exploring its applications, limitations, and importance of choosing the right components.

Logistic Regression: Probabilistic Interpretation

Covers logistic regression's probabilistic interpretation, multinomial regression, KNN, hyperparameters, and curse of dimensionality.

Regression Trees and Ensemble Methods in Machine Learning

Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

Noise Pollution: Impact Studies and Protective Measures

Explores noise pollution impact studies, protective measures for buildings near noisy areas, and noise control strategies.

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