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

Home

Lecture

KNN: Nearest Neighbor Classifier

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (50)

Convexifying Nonconvex Problems: SVM and Dimensionality Reduction Log in to Mediaspace to watch this video

Explores convexifying nonconvex problems through SVM and dimensionality reduction techniques.

Convolutional Neural Networks: Filters and Channels Log in to Mediaspace to watch this video

Explores weight sharing, filters, channels, and data augmentation in convolutional neural networks.

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.

Machine Learning Fundamentals: Regularization and Cross-validation Log in to Mediaspace to watch this video

Explores overfitting, regularization, and cross-validation in machine learning, emphasizing the importance of feature expansion and kernel methods.

Decision Trees and Random Forests: Concepts and Applications Log in to Mediaspace to watch this video

Discusses decision trees and random forests, focusing on their structure, optimization, and application in regression and classification tasks.

Sparsest Cut: Bourgain's Theorem Log in to Mediaspace to watch this video

Explores Bourgain's theorem on sparsest cut in graphs, emphasizing semimetrics and cut optimization.

Visualizing the Fourth Dimension: A Mathematical Journey Log in to Mediaspace to watch this video

Explores visualizing the Fourth Dimension through points, lines, circles, spheres, and punching through, covering vector space properties, dimensionality, bases, and theorems.

Supervised Learning in Financial Econometrics Log in to Mediaspace to watch this video

Explores supervised learning in financial econometrics, covering linear regression, model fitting, potential problems, basis functions, subset selection, cross-validation, regularization, and random forests.

Generalization of Change of Basis Matrices Log in to Mediaspace to watch this video

Covers linear algebra basics, including matrices, change of basis, and invertible matrices.

Polynomial Regression: Basics and Regularization Log in to Mediaspace to watch this video

Covers the basics of polynomial regression and regularization to prevent overfitting.

Page 3 of 3