News

Snowflake’s new AI agents aim to democratize data analytics: Here’s how
Managers of data warehouses of big and small companies realise this sooner or later, that having vast tables of numbers and ...
Security Boulevard4d
Enhancing Kubernetes Security with AI-Powered Intrusion Detection
How AI and machine learning can enhance Kubernetes security. Learn about eBPF, IDS, and automated threat responses. Secure ...
IEEE7d
Non-Intrusive Identification of Loads by Random Forest and Fireworks Optimization
The proposed hybrid approach optimizes the processes using the Fireworks Algorithm (FWA) were used in the Random Forest classifier to improve classification performance. The proposed event identifier ...
SciELO7d
Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF)
In order to adjust the models for predicting soil property results from the pXRF data, two methods were tested: stepwise multiple linear regression (SMLR) and random forest algorithm (RF). The SMLR ...
GitHub16d
Causal Inference and Discovery in Python
Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing ...
GitHub16d
Random Cut Forest by AWS
This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure ... The package randomcutforest-examples showcases several example scenarios for using the ...
IEEE19d
Positional Approach to the Voting Function Formation of Random Forest Trees as an Example of Solving the Differentiating Tuberculosis Forms Problem
Abstract: The paper proposes a new voting technology for random forest trees – the Positional Approach to ... The effectiveness of the new mechanism is shown by the example of the differentiation ...