InfoWorld

How to choose the best LLM using R and vitals

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Frontiers

Beyond just correlation: causal machine learning for the microbiome, from prediction to health policy with econometric tools

The human microbiome is increasingly recognized as a key mediator of health and disease, yet translating microbial associations into actionable interventions remains challenging. This review ...
IEEE

Tennis match outcome prediction using machine learning and in-match statistics

Abstract: Machine learning has become a cornerstone of sports analytics, including tennis, which is an ideal arena for its application due to the abundance of comprehensive tennis data. This study ...
IEEE

Training a Dynamic Growing Mixture Model for Lifelong Learning

Abstract: Lifelong learning (LLL) defines a training paradigm that aims to continuously acquire and capture new concepts from a sequence of tasks without forgetting. Recently, dynamic expansion models ...