Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
GitHub

Bayesian Optimization for CVaR-based Portfolio Optimization

This repository contains experiment that implements Bayesian Optimization (BO) techniques for Conditional Value-at-Risk (CVaR)-based portfolio optimization, inspired by the research paper "Bayesian ...
IEEE

Distributed Fractional Bayesian Learning for Adaptive Optimization

Abstract: This paper considers a distributed adaptive optimization problem, where all agents only have access to their local cost functions with a common unknown parameter, whereas they mean to ...
GitHub

aShamsideen/Bayesian-Optimization-for-SVM-hyperparameter-Tuning

This project demonstrates how to use Bayesian Optimization to tune hyperparameters of a Support Vector Machine (SVM) classifier on the Breast Cancer dataset from scikit-learn. The optimization process ...
IEEE

ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models

Abstract: Analog circuit design requires substantial human expertise and involvement, which is a significant roadblock to design productivity. Bayesian Optimization (BO), a popular ...
lse

MSc in Health Data Science

9 month programme. Students take four compulsory half unit courses and options to the value of two unit(s). Please note that places are limited on some optional courses. Admission onto any particular ...