Lecture02 - Expression Analysis Clustering Classification - MLCB24

Описание к видео Lecture02 - Expression Analysis Clustering Classification - MLCB24

0:00 Intro
4:37 What is Machine Learning
9:32 Making Inferences about the World
14:25 Reversing the Arrows: Bayesian Inference
20:20 Clustering and Classification
33:45 AI vs. ML vs. Representation Learning vs. Generative AI
46:06 ML for Gene Expression Analysis
54:29 K-means Clustering
1:01:27 Gaussian Mixture Model Sampling
1:09:58 Hierarchical Clustering
1:13:10 Clustering of Documents and Free-Form Text
1:17:06 Naive Bayes Classification
1:20:50 Summary

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