Blog
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We explore two methods replacing missing data.
Gaussian-noise Linear Regression vs Multivariate Normal
We create and compare two generative statistical models.
Implementing Linear Regression from Scratch in Python to Understand How It Works
We review the code behind an analytic solution to linear regression.
Mind-Reading Machine
In which we beat humans in a game of pennies with a simple Markov Chain.
Deep Energy-Based Model Fitted with Noise Contrastive Estimation
...my attempt to better understand the process of training an Energy-Based Model.