Comparing predictive distributions from posteriors estimated by coordinate-ascent variational inference (CAVI) versus exact derivation in a univariate bayesian linear regression setting.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

xkcd #2048 is exceptionally relevant to this. Doing linear regression well with a big dataset is difficult! I do this all the time at work and honestly I often show a scatter plot without any ...

This project demonstrates how to implement simple linear regression from scratch using Python, without relying on libraries like Scikit-Learn. The implementation includes data preprocessing, model ...

Abstract: We present a Bayesian deep structured semantic model (BDSSM) that is efficient in retrieval tasks with a large pool of candidates for real-time applications, e.g., in search engines and ...