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Markov Decision Processes

In this blog post, we are going to talk about Markov Decision Process (MDP). MDPs are very important in the context of reinforcement learning (RL), because lots of RL problems...

Latent Variables & Generative Models

In the realm of data science and machine learning, latent variables are like hidden factors or underlying structures in your data that you can’t directly observe. Think of them as...

A Simple Proof of the Cauchy-Schwarz Inequality

Inner product spaces play a crucial role in various fields such as linear algebra, quantum mechanics and more. One of the key results in these spaces is the Cauchy-Schwarz inequality....

An Intro to Gaussian Mixture Models

In this blog post, we will explore the concept of Gaussian Mixture Models (GMMs). These models are intuitive and widely applicable in various domains such as image segmentation, clustering, and...