Generating Mini-Protein Trajectories with GROMACS
A practical guide to simulating mini-proteins using GROMACS; from alanine dipeptide to tryptophan systems for ML training data generation.
Tutorial
5 Axes of Multi-Arm Bandit Problems: A Practical Guide
Key dimensions that have helped me understand multi-arm bandit problems: action space, problem structure, external information, reward mechanism, and learner feedback.
Breaking Down Machine Learning for the Average Person
Understand the pattern recognition behind Netflix recommendations, email spam filters, and game-playing AI through three core machine learning approaches.
Understanding GANs: From Fundamentals to Objective Functions
An in-depth guide to GANs: how two neural networks compete to generate realistic data, the math behind it, and the evolution of objective functions that stabilize training.
Word Embeddings in NLP: An Introduction
Learn how computers understand words through mathematical vectors, from simple counting methods to contextual embeddings that power modern NLP.