Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Concept

Feature engineering

Applied sciences
Information engineering
Machine learning
Topics in machine learning

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Correlational Power Analysis: Efficient CNN Architectures Log in to Mediaspace to watch this video

Discusses efficient CNN architectures, feature selection, and DPA contest results.

Feature Learning: Stability and Curse of Dimensionality Log in to Mediaspace to watch this video

Explores how modern architectures beat the curse of dimensionality and the importance of stability in deep learning models.

Deep Learning: Dimensionality and Data Representation Log in to Mediaspace to watch this video

Delves into deep learning's dimensionality, data representation, and performance in classifying large-dimensional data, exploring the curse of dimensionality and the neural tangent kernel.

PCA: Key Concepts Log in to Mediaspace to watch this video

Covers the key concepts of Principal Component Analysis (PCA) and its practical applications in data dimensionality reduction and feature extraction.

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.

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.

Learning Sparse Features: Overfitting in Neural Networks Log in to Mediaspace to watch this video

Discusses how learning sparse features can lead to overfitting in neural networks despite empirical evidence of generalization.

Image Classification: Decision Trees & Random Forests Log in to Mediaspace to watch this video

Explores image classification using decision trees and random forests to reduce variance and improve model robustness.

Feature Extraction & Clustering Methods Log in to Mediaspace to watch this video

Covers feature extraction, clustering, and classification methods for high-dimensional datasets and behavioral analysis using PCA, t-SNE, k-means, GMM, and various classification algorithms.

Machine Learning for Feature Extraction Log in to Mediaspace to watch this video

Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.

Introduction to Image Processing for Earth Observation Log in to Mediaspace to watch this video

Covers the basics of image processing for Earth observation, including course objectives, administration details, interdisciplinary aspects, and key image processing concepts.

Lasso and MNIST Basics Log in to Mediaspace to watch this video

Introduces Lasso regularization and its application to the MNIST dataset, emphasizing feature selection and practical exercises on gradient descent implementation.

Page 2 of 2