Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Code repository for O'Reilly book

Automatic Generation of Visualizations and Infographics using Large Language Models

Home assignments for data science positions

Debugging Machine Learning Models with Python, published by Packt

An algorithm for classification from a graph-sparse support

Here I demonstrate the performance difference between the Poisson and the classic bootstrap by estimating the confidence interval for the difference of CTRs of the two user groups