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Textbook on reinforcement learning from human feedback
Tools for exploring the possibilities of "internet of things" printing.
Task-Aware Agent-driven Prompt Optimization Framework
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
🌱 1-on-1 questions and resources from my time as a manager.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Sidey is a simple and minimalistic jekyll blogging theme.
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
Chapters, code, and organizational files for the book "Simplified Machine Learning Workflows".
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Source code for the X Recommendation Algorithm
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-lin…
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Statistical Rethinking Course for Jan-Mar 2023
My curriculum vitae (CV) written using LaTeX.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Scalable and user friendly neural 🧠 forecasting algorithms.