Python Monte Carlo Simulations: Copulas Unchained
Making a Sentiment Model Explainable
When the Hammer Meets the Dance
The meaning of Prior, Posterior, Bayes’ Theorem, Negative Log-Likelihood, KL Divergence, Surrogate, Variational Inference & Evidence Lower…
I’m waiting for the M2 instead — and here’s why you should too.
Think about these as you develop your neural network.
Demystifying the Linear Algebra concepts behind SVD with a simple example
A cheat sheet for all the nitty-gritty details around Logistic Regression