OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...

Implemented Preprocessing steps, Feature Extraction techniques and Naive Bayes Classifier in C++. Moreover, we have also implemented all the steps using python for comparative analysis. One of the ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Abstract: Data mining in the educational field has been commonly used to analyze patterns in academic databases that are hard to analyze manually. The main objective of this paper is to compare the ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...

Python is a high-level programming language that is widely used for Machine Learning (ML) applications. It is known for its readability, versatility and ease of use, making it an ideal choice for ...

Leverage the power of data analysis, machine learning, and artificial intelligence with a specialized master’s degree in one of today’s most in-demand fields. Taught by experienced professionals, this ...

See what features you can expect from Azure Machine Learning and IBM Watson to decide which artificial intelligence solution is right for you. With the ability to revolutionize everything from ...