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.
Machine-Learning
A Guide to Neuroevolution: NEAT and HyperNEAT
Discover how NEAT and HyperNEAT changed neuroevolution by automatically designing neural network architectures and scaling them through geometric patterns.
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.
Foundations of AI: Knowledge-Based Agents and Logic
Explore the building blocks of classic AI reasoning, from knowledge bases and logic to how systems draw new conclusions from existing knowledge.
QuAC: Question Answering in Context Dataset
QuAC introduces a conversational QA dataset that models student-teacher interactions, creating context-dependent questions that test systems’ ability to understand dialogue and resolve references.
CoQA Dataset: Advancing Conversational Question Answering
CoQA extends question answering beyond isolated questions to conversations that require context and reference understanding.
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.