Machine Learning
Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.
Face Recognition Techniques and Applications - Lecture 14
Explore face recognition techniques, from simple approaches to advanced methods like PCA and Linear Discriminant Analysis. Learn about eigenvectors, image compression, and scatter matrices.
Multivariate
Explore advanced multivariate statistical concepts, including hypothesis testing, probability distributions, and data analysis techniques, with practical applications using R programming.
Linear Discriminant Analysis - Discriminant Analysis Tutorial - Machine Learning Tutorial
Explore Linear Discriminant Analysis for dimension reduction and pattern classification in machine learning. Learn its applications, core mathematics, and practical implementation through exercises and examples.
LDA Application in Entertainment Industry
Explore Linear Discriminant Analysis application in entertainment, covering key concepts, data analysis, and practical implementation using Jupyter Notebook for feature selection and classification.
Sketching and Projecting
Explore sketching and projecting methods for linear systems and linear discriminant analysis, focusing on stochastic gradient approaches to achieve efficient solutions with reduced computational burden.
Multi-Class Classification with Discriminant Analysis
Learn discriminant analysis techniques for multi-class classification, covering data collection, distributions, decision boundaries, and linear approaches to effectively categorize new data points.
Implementing Linear Discriminant Analysis (LDA) with Irish Data Sets in R
Implement LDA using Irish datasets in R, gaining practical experience with Linear Discriminant Analysis techniques.
Linear Classification and Loss Functions - Lecture 25
Dive into linear classifiers and loss functions, mastering fundamental concepts for effective data classification and model optimization techniques.
Multidimensional Scaling and Linear Discriminant Analysis in Data Mining - Spring 2023
Explore multidimensional scaling (MDS) and linear discriminant analysis (LDA), learning key concepts, motivations, and practical applications in data dimensionality reduction and classification.