Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

This paper presents concepts and experimental results of approaches to data clustering and image segmentation using NC approaches. The main focus are on evolutionary computing, which is based on the ...

This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data" by Ankur A. Patel. Many ...

A deep dive into the Log Softmax function and how to implement it in Python for various deep learning ... lawsuit How to hard boil eggs without using water At 70, I’ve been retired for 7 years ...

Abstract: Reservoir characterization (RC) is a process of finding petrophysical properties of the subsurface mainly from the seismic and well-log data. The nonlinear and heterogeneous nature of the ...

Intelligent SAP Financial Integrity Monitor (POC): Hybrid AI/ML (IF, LOF, AE) & rules-based anomaly detection on SAP FAGLFLEXA data using Python/Streamlit ...