- AI
- math
- sample-posts
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Regularization
An introduction to regularization in machine learning.
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Causal Effect
An introduction to causal effect in artificial intelligence.
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Advanced AI Notes
notes on advanced AI course
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Decision Tree
An introduction to decision trees in Machine Learning.
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Principal Component Analysis (PCA)
An introduction to PCA, one of the most popular dimensionality reduction techniques in data science.
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Ensemble Learning
An introduction to ensemble learning.
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Linear Regression
An introduction to linear regression.
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Generative Classifier
An introduction to generative classifiers and their use in machine learning.
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Linear Discriminant Classifier
An introduction to the Linear Discriminant Classifier in Machine Learning.
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a post with TikZJax
this is what included TikZ code could look like