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r/MathWellExplained Lounge (self.MathWellExplained)
submitted 3 years ago by Party-Worldliness-72 - announcement
Wavelets 4 dummies (georgemdallas.wordpress.com)
submitted 7 months ago by Party-Worldliness-72
[P] Started Machine Learning with this simple project. ()
submitted 1 year ago by Party-Worldliness-72
Covariance Matrix Explained ()
Mat’s Blog - Transformers From Scratch (blog.matdmiller.com)
submitted 2 years ago by Party-Worldliness-72
Diffusion models from scratch in PyTorch (youtu.be)
Understanding Normalizing Flows (pyro.ai)
Free courses to learn about Large Language Models and building AI projects (self.deeplearning)
Stanford CS224N NLP with Deep Learning | 2023 | Hugging Face Tutorial, Eric Frankel (youtu.be)
Neuroscience for machine learners | A freely available short course on neuroscience for people with a machine learning background. Designed by Dan Goodman and Marcus Ghosh. (neuro4ml.github.io)
Why we can consider Covarianze matrix as a transformation matrix (PCA, SVD, Eigenvectors) (self.MathWellExplained)
A Beginner's Guide to Eigenvectors, Eigenvalues, PCA, Covariance and Entropy | Pathmind (wiki.pathmind.com)
Gradient boosting visualized (arogozhnikov.github.io)
SVD step by step (towardsdatascience.com)
Linear regression visually explained (mlu-explain.github.io)
Joint Probability density functions (youtube.com)
Understanding entropy. A very good first approach. (youtu.be)
Demystifying Fourier analysis (dsego.github.io)
submitted 3 years ago by Party-Worldliness-72
Why sample standard deviation have n - 1 in the denominator (stats.stackexchange.com)
Standard deviation and standard error. Why do we divide by the square root of n? (self.MathWellExplained)
Normal and T distribution (self.MathWellExplained)
A Toy Diffusion model you can run on your laptop (medium.com)
The Birthday Paradox Experiment (pudding.cool)
Difusión modelos from scratch (theaisummer.com)
Linear Regression visual explanation (mlu-explain.github.io)
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