AI enables a who's who of brown bears in Alaska

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...
Market.us Scoop

AI in Mental Health Market Expansion Toward USD 14.89 Billion by 2033

Global Ai in Mental Health Market size is expected to be worth around USD 14.89 Billion by 2033 from USD 0.92 Billion in 2023 ...
CIO Applications

An In-Depth Exploration of Machine Learning Benefits

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...
Hosted on MSN

Supervised learning example explained with real-life use case

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
Frontiers

Supervised machine learning approaches for early detection of metabolic and udder health disorders in dairy cows using sensor-derived data

Large Animal Clinic, Veterinary Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania Therefore, it was hypothesized that by analyzing real-time physiological, behavioral, and milk ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
IEEE

Heart Attack Prediction: A Comparative Analysis of Supervised Machine Learning Algorithms for Early Detection and Risk Stratification

Abstract: Heart attacks are a prominent source of morbidity and mortality globally, demanding the development of precise and efficient predictive models for early identification and risk ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
Scientific Research Publishing

Kigo, S.N., Omondi, E.O. and Omolo, B.O. (2023) Assessing Predictive Performance of Supervised Machine Learning Algorithms for a Diamond Pricing Model. Scientific Reports, 13 ...

ABSTRACT: Attrition is a common challenge in statistical analysis for longitudinal or multi-stage cross-sectional studies. While strategies to reduce attrition should ideally be implemented during the ...