A method for identifying representations of concepts in neural networks could provide a more-effective way to control and monitor artificial-intelligence systems. Read the paper: Toward universal ...
Run by the team at orchestration, AI, and automation platform Tines, the Tines library contains pre-built workflows shared by real security practitioners from across the community, all of which are ...
Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...
Abstract: Customer value analysis is an important work in customer relationship management. In this paper, we use ABC classification, RFM (Recency, Frequency, Monetary) model and K-means clustering ...
The Eigenvector Etch Data Parser is developed to read Matlab data files published by Eigenvector[1]. The data is from a LAM 9600 Metal Etching Machine and was collected in 1995's. The data is ...
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau. Official implementation ...
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