FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
PNAS

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...
Frontiers

Using unsupervised machine learning to characterize recovery patterns in elite canoe-kayak athletes across the Olympic training year

Background: Continuous wearable monitoring generates high-volume data, yet methods to translate these streams into actionable recovery insights for elite athletes remain scarce. This study applied a ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Frontiers

The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...
tech2geek

Scikit-learn: The Essential Machine Learning Library for Python

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...
IEEE

Unsupervised Machine Learning Study of GaAsBi Quantum Well Evolution After Annealing Based on Spatially Resolved Micro-Photoluminescence Imaging

Abstract: Unsupervised machine learning-based analysis of spatially resolved photoluminescence images of GaAsBi quantum well structures reveals non-uniformity of optical properties of as-grown samples ...
marktechpost

Unsupervised System 2 Thinking: The Next Leap in Machine Learning with Energy-Based Transformers

Artificial intelligence research is rapidly evolving beyond pattern recognition and toward systems capable of complex, human-like reasoning. The latest breakthrough in this pursuit comes from the ...
IEEE

Topological Data Analysis and Wavelet- Unsupervised Machine Learning Approaches to Identifying the Flooding and Non-Flooding Zones

Abstract: Every year, millions of individuals are affected by flooding in Bangladesh resulting in loss of habitat, properties, and lives. Because the country experiences monsoon rains, flat lands, ...