Lecture 66: Bayesian Learning in machine learning|Concepts
Автор: Dr Vaani Srikanth
Загружено: 2025-06-02
Просмотров: 30
WHAT IS BAYESIAN LEARNING
What is probability based learning?
What is Bayes theorem?
Probabilistic model vs deterministic model
Bayesian learning vs probabilistic learning
FUNDAMENTALS OF BAYES THEOREM
Prior probability
Likelihood probability
Posterior probability
CLASSIFICATION USING BAYES MODEL
Maximum A Posterior Probability (MAP) hypothesis ℎ_𝑀𝐴𝑃
MAXIMUM LIKELIHOOD(ML) HYPOTHESIS 𝒉_𝑴𝑳
Maximum A Posterior Probability (MAP) hypothesis ℎ_𝑀𝐴𝑃
MAXIMUM LIKELIHOOD(ML) HYPOTHESIS 𝒉_𝑴𝑳
Problem on Bayes theorem
#AI115AIA, #BPLCK105B, #BPLCK205B, #22AM4AEPPM, #BDS306B,#20AM4PWPML,#Python programming,#Vaani Srikanth,
#Dr Vaani Srikanth,#VTU,#VTU engineering,
#Data science,#AI,#NumPy,#Pandas,#23EC6PE2ML, #23CS5PCDEV
#22AM4AEPPM, #AI125IA, #AI115IA, #22PLC15B
#23CS5PCDEV, #bcm601, #bds602, #bcs602, #bai602, #bayesianstatistics , #bayesinalearning, #bayesian , #bayestheorem

Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке: