Tag: machine-learning
All the articles with the tag "machine-learning".
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RL Series Part 1: A Deep Dive into Policy and Value Iteration
A detailed walkthrough of the foundational model-based RL algorithms, Policy and Value Iteration, grounded in the mathematics of Markov Decision Processes and the Bellman Equation.
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From MLE to Variational Inference
A comprehensive exploration of the mathematical progression from maximum likelihood estimation through latent variable models to advanced variational inference techniques, including practical VAE implementations and extensions.
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From Exponential Complexity to Chain Rules: Understanding Autoregressive Generative Models
A deep dive into the fundamentals of generative modeling, exploring how chain rule factorization solves the curse of dimensionality and enables everything from Bayesian networks to modern Transformers.