We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

ML scientific job orchestration platform: FastAPI API, Celery Worker, PostgreSQL DB, RabbitMQ broker, and React frontend for spectral analysis, data preprocessing, and active‐learning workflows 🪐 ...

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

Artificial Intelligence is no longer a niche skill. It is the hub of innovation in the modern world, reshaping the sectors of finance, healthcare, marketing, and production. By 2025, the need to know ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

By effectively integrating machine learning and logical reasoning in a balanced loop, coupled with engineering optimizations, ABLkit demonstrates superior performance in terms of predictive accuracy, ...