notes, ideas, and implementations
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My notes on some books I read on Machine Learning
Machine learning, in numpy
A collection of analytics methods implemented with Python on Google Colab
General statistics, mathematical programming, and numerical/scientific computing scripts and note...
Basic utilities for Bayesian inference
A python tutorial on bayesian modeling techniques (PyMC3)
some tools for gaussian linear dynamical systems
Statistical Rethinking (2nd ed.) with NumPyro
Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
A companion wiki + code repository for the O'Reilly Media video "Just Enough Math". This site pro...
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
Bayesian inference in HSMMs and HMMs