In the ERC project HelixMold, a team from TU Graz developed a method for the computer-based design of artificial proteins, ...

Fine-tuning is like coaching a trained athlete to master a new technique. You’ve learned to swim—now you’re training for a triathlon. That’s fine-tuning. In machine learning, it means starting with a ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too difficult or expensive for either method ...

A dynamic repository showcasing practical Machine Learning projects, featuring cutting-edge techniques, model training, and hyperparameter optimization for impactful insights. - nishatrhythm/Machin ...

Yang, L. and Shami, A. (2020) On Hyperparameter Optimization of Machine Learning Algorithms Theory and Practice. Neurocomputing, 415, 295-316.