t-SNE - Explained

In this video, you'll get a clear, intuitive explanation of t-SNE (t-distributed Stochastic Neighbor Embedding), a powerful algorithm used to visualize high-dimensional data. We break down the math, concepts, and practical tips to help you understand how t-SNE works and why it's so effective in fields like NLP, bioinformatics, and machine learning.

References
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Kullback-Leibler (KL) Divergence - Explained video:    • Kullback-Leibler (KL) Divergence Mathemati...  

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Contents
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00:00 - Intro
00:51 - Key Insight
01:42 - High Dimensional Calculations
02:27 - Perplexity
02:57 - Low Dimensional Mapping
03:42 - The crowding Problem
04:31 - Low-High Dimensionality Difference
05:10 - Optimization
05:49 - Non-linear mapping
06:21 - Practical tricks
07:02 - Real-world application
07:46 - Outro

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#tSNE #DataVisualization #MachineLearning #DimensionalityReduction #DeepLearning