Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
TMCnet

Bragg Gaming Group Leaps into 'AI-First' Future with Golden Whale Partnership

Bragg Gaming Group ( NASDAQ: BRAG, TSX: BRAG) (" Bragg " or the " Company "), a leading content-driven iGaming technology provider, today announced a strategic partnership with Golden Whale ...
RCR Wireless News

How telcos can use AI to predict and prevent customer churn

Customer churn remains a huge issue for telcos. Could AI actually help? Customer churn remains one of the telecom industry’s most persistent and expensive problems. Annual churn rates typically land ...
IEEE

Predicting Potential Customers in Direct Marketing Using Uplift Modelling and Advanced Machine Learning

Abstract: Uplift Modeling can be an effective machine learning method when identifying the potential customers who have the highest possibility of creating a positive impact on the marketing ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
Frontiers

A predictive analytics approach to improve telecom's customer retention

Customer retention is a critical challenge for telecom companies, and understanding customer churn can significantly improve business strategies. This paper focuses on developing an accurate ...
GitHub

customer-churn-machine-learning-data-analysi

A machine learning project that analyzes telecom customer data to predict churn using Logistic Regression, Decision Tree, and Random Forest models. Built with Python, scikit-learn, and data ...