Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
GitHub

This notebook outlines the process of training and evaluating a regression model, focusing on linking data features to predicted variables, and adjusting parameters for ...

The purpose is to comprehend the links between qualities, specifically any association between features and predicted labels. This includes detecting and fixing data problems (e.g. missing values, ...
IEEE

Artificial Intelligence (AI), Machine Learning (ML) & Deep Learning (DL): A Comprehensive Overview on Techniques, Applications and Research Directions

Abstract: The subfield of artificial intelligence (AI) within computer science aims to create intelligent machines capable of performing tasks typically requiring human intelligence. This foundational ...
GitHub

A python package that includes many methods for decoding neural activity

The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...