A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)

A collection of Bayesian data analysis recipes using PyMC3

Notes about Statistical Rethinking | Richard McElreath

Concepts of Bayesian Statistics, Bayesian inference, computational techniques and knowledge about the different types of models as well as model selection procedures.

A Jupyter Notebook discussing Bayesian theory, Markov Chain Monte Carlo and the Affine Invariant Ensemble Sampler

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

Notebooks for Advanced Statistical Inference(ASI) course at EURECOM

A jupyter notebook for binary classification of breast cancer using XGBoost with Bayesian optimization.

A collection of Juypter notebooks that serve as my notes on tutorials and examples for PyMC3.

Capturing notes from a basic statistics class into jupyter notebooks and embellishing with MathJax formulas, python code and visualizations

📔Interesting books I currently read 📚

General statistics and mathematical concept notebooks in Python

Notebooks (mostly R but some PyMC3) covering Prof Richard McElreath's Statistical Rethinking 2 book (draft version up to 26th Sept 2019) and Homeworks from his winter 2019 lecture course

In this repo, I apply various statistical methods (Bayesian) and neural networks in Python(Jupyter Notebook) to analyze and examine relevant topics within computational linguistics. This was part of a 400-level seminar designed for us to engage in interdisciplinary methods to investigate linguistic phenomena.