PDF Report Generation 5.1 Contents • Executive Summary • Data Overview (size, feature distribution) • Clustering Configuration (algorithm, hyperparameters, iteration logs) • Cluster Quality ...

Industry leaders from SAP and Accenture discuss the importance of diversity in reducing AI bias, highlighting strategies for inclusivity.

Comparing Modeling Approaches for Distributed Contested Logistics. American Journal of Operations Research, 15, 125-145. doi: ...

In terms of intelligent driving, the adversarial example of an attack against traffic signs will cause the vehicle to make wrong judgments and decisions. However, the existing adversarial examples of ...

This article gathers 5 machine learning algorithms used in Python for analyzing and making predictions from data, allowing for a wide range of applications in various fields.

Nowadays many researchers are developing various distributed and decentralized frameworks for federated learning algorithms. However, development of such a framework targeting smart Internet of Things ...

OpenAI highlights ChatGPT's dialogue capability in examples for debugging code where it can ask for clarifications, and receive hints from a person to arrive at a better answer.

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

In the sequel, we discuss the Python implementation of Maximum Likelihood Estimation with an example. Regression on Normally Distributed Data Here, we perform simple linear regression on synthetic ...