This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

Abstract: Crime prediction is of great significance to the formulation of policing strategies and the implementation of crime prevention and control. Machine learning is the current mainstream ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: Different from the existing train delay studies that had strived to explore sophisticated algorithms, this paper focuses on finding the bound of improvements on predicting multi-scenario ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...

In this project, we have used various natural language processing techniques and machine learning algorithms to classify fake news articles using sci-kit libraries from python. The data source used ...

New affordable housing preservation fund complements 2025 city law that requires apartment owners to give city first right of refusal when they decide to sell Kelly Davis, intrepid reporter who ...

From detecting Salmonella to flagging risky food suppliers, a new review shows how AI is moving food safety research toward faster, more predictive monitoring Review: Artificial intelligence in food ...

eComplex Trauma and Resilience Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK fPsychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, ...