Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Below are some examples of classification algorithms used in AI and machine learning. Binary Logistic Regression Binary logistic regression can predict a binary outcome, such as Yes/No or Pass/Fail.

Instance Selection and Classification Algorithms in Machine Learning Publication Trend. The graph below shows the total number of publications each year in Instance Selection and Classification ...

Like with movies, I don’t have one favorite machine learning (ML) algorithm, but a few favorites, each for its own reason. Here are some of my top few algorithms and models: Most elegant: The ...

Machine Learning: A field of artificial intelligence, focused on the creation of algorithms, models and systems to perform tasks and generally to improve upon themselves in performing that task ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification. Medical Image Analysis , November 22, 2021. DOI: 10.1016/j.media.2021.102307 https://doi.org ...

New machine learning algorithm promises advances in computing. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 05 / 240509155536.htm. Ohio State University.

New algorithm boosts multitasking in quantum machine learning. ScienceDaily . Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2024 / 12 / 241210115620.htm ...