Statistical classification | Bayesian statistics
In statistical classification, the Bayes classifier minimizes the probability of misclassification. (Wikipedia).
From playlist Naive Bayes Classifier
Bayes Classifiers; Bayes rule; discrete and Gaussian class-conditional distributions
From playlist cs273a
Bayes Classifiers and Sentiment Analysis
In this video, I show how to use Bayes classifiers to determine if a piece of text is "positive" or "negative". In other words, I show you how to make a program with feelings! The kind of classifier I show is called a Bernoulli naive Bayes classifier: https://en.wikipedia.org/wiki/Naive_
From playlist Machine Learning
[http://bit.ly/N-Bayes] Components of the Naive Bayes classifier: the prior, the class model and the normalizer.
From playlist Naive Bayes Classifier
IAML5.2: Bayesian classification
From playlist Naive Bayes Classifier
Bayes Classifiers (2): Naive Bayes
Complexity and overfitting in Bayes classifiers; naive Bayes models
From playlist cs273a
Naive Bayes Classifier | Naive Bayes Algorithm | Naive Bayes Classifier With Example | Simplilearn
🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=MachineLearning-l3dZ6ZNFjo0&utm_medium=Descriptionff&utm_source=youtube 🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootc
From playlist Machine Learning with Python | Complete Machine Learning Tutorial | Simplilearn [2022 Updated]
Naive Bayes Classifier Tutorial | Naive Bayes Classifier in R | Naive Bayes Classifier Example
( Data Science Training - https://www.edureka.co/data-science ) Watch sample class recording: http://www.edureka.co/data-science?utm_source=youtube&utm_medium=referral&utm_campaign=naive-bayes-classifier-15 Data science is the study of the generalizable extraction of knowledge from data,
From playlist Data Science Training Videos
Digging into Data: Supervised Classification with Logistic Regression and Naive Bayes
Our first lecture on classification, where we cover two linear methods.
From playlist Digging into Data
(ML 8.4) Bayesian Naive Bayes (part 2)
When all the features are categorical, a naïve Bayes classifier can be made fully Bayesian by putting Dirichlet priors on the parameters and (exactly) integrating them out.
From playlist Machine Learning
Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Gchxyg Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.sta
From playlist Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018
Python - Classifying Text Part 1
Lecturer: Dr. Erin M. Buchanan Summer 2019 https://www.patreon.com/statisticsofdoom This one was posted way before the others - part two is here: https://youtu.be/f7HFeeUzkJQ In this video, you will learn some basic terminology for classification - how to extract features, train, and t
From playlist Natural Language Processing
(ML 8.3) Bayesian Naive Bayes (part 1)
When all the features are categorical, a naïve Bayes classifier can be made fully Bayesian by putting Dirichlet priors on the parameters and (exactly) integrating them out.
From playlist Machine Learning
PIC Math - Improving Market Strategies - Segment II
Prof. Talithia Williams of Harvey Mudd College explains the statistical techniques that can be used to classify customers of a company using the messages on their gift cards.
From playlist PIC Math 2015 - Industrial Math Case Studies
Naive Bayes, Clearly Explained!!!
When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier - which sounds really fancy, but is actually quite simple. This video walks you through it one step at a time and by the end, you'll no longer be naive about Naive Bayes!!! Ge
From playlist StatQuest
Naive Bayes Classifier | Data Science | Edureka
( Data Science Training - https://www.edureka.co/data-science ) Watch the sample class recording: http://www.edureka.co/data-science?utm_source=youtube&utm_medium=referral&utm_campaign=naive-bayes-classifier In machine learning, Naive Bayes classifiers are a family of simple probabilist
From playlist Data Science Training Videos
(ML 8.6) Bayesian Naive Bayes (part 4)
When all the features are categorical, a naïve Bayes classifier can be made fully Bayesian by putting Dirichlet priors on the parameters and (exactly) integrating them out.
From playlist Machine Learning