Machine Learning 3.2 - Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)

Автор: Bill Basener

Загружено: 2020-12-12

Просмотров: 46061

Описание:

We will cover classification models in which we estimate the probability distributions for the classes. We can then compute the likelihood of each class for a new observation, and then assign the new observation to the class with the greatest likelihood. These maximum likelihood methods, such as the LDA and QDA methods you will see in this section, are often the best methods to use on data whose classes are well-approximated by standard probability distributions.

This material complements pp. 138-149 of An Introduction to Statistical Learning (http://faculty.marshall.usc.edu/garet....

Machine Learning 3.2 - Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)

Доступные форматы для скачивания:

Скачать видео mp4

Информация по загрузке:

Скачать аудио mp3

Похожие видео

Machine Learning Lecture 26

Machine Learning Lecture 26 "Gaussian Processes" -Cornell CS4780 SP17

StatQuest: Linear Discriminant Analysis (LDA) clearly explained.

StatQuest: Linear Discriminant Analysis (LDA) clearly explained.

Regularization Part 1: Ridge (L2) Regression

Regularization Part 1: Ridge (L2) Regression

Регрессионный анализ | Полный курс

Регрессионный анализ | Полный курс

Gradient Descent, Step-by-Step

Gradient Descent, Step-by-Step

Introduction to Machine Learning - 06 - Linear discriminant analysis

Introduction to Machine Learning - 06 - Linear discriminant analysis

Введение в статистику и анализ данных

Введение в статистику и анализ данных

4 Hours Chopin for Studying, Concentration & Relaxation

4 Hours Chopin for Studying, Concentration & Relaxation

Machine learning - Introduction to Gaussian processes

Machine learning - Introduction to Gaussian processes

The EM Algorithm Clearly Explained (Expectation-Maximization Algorithm)

The EM Algorithm Clearly Explained (Expectation-Maximization Algorithm)

Lecture 3: Linear Classifiers

Lecture 3: Linear Classifiers

Probability and Statistics: Overview

Probability and Statistics: Overview

Но что такое нейронная сеть? | Глава 1. Глубокое обучение

Но что такое нейронная сеть? | Глава 1. Глубокое обучение

Моделирование Монте-Карло

Моделирование Монте-Карло

Почему простые числа образуют эти спирали? | Теорема Дирихле и пи-аппроксимации

Почему простые числа образуют эти спирали? | Теорема Дирихле и пи-аппроксимации

Linear discriminant analysis (LDA) - simply explained

Linear discriminant analysis (LDA) - simply explained

Regression Trees, Clearly Explained!!!

Regression Trees, Clearly Explained!!!

16. Learning: Support Vector Machines

16. Learning: Support Vector Machines

Machine Learning 10.2 - PCA Visualizations

Machine Learning 10.2 - PCA Visualizations

Выучите R за 39 минут

Выучите R за 39 минут