Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Using machine learning methods to predict post-traumatic stress disorder in stroke patients in China
Background: This study aims to utilize various machine learning algorithms to construct a risk prediction model for post-stroke Post-Traumatic Stress Disorder (PTSD), select the optimal model, and ...
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Implement logistic regression using Python and scikit-learn to classify malignant vs. benign tumours from the Breast Cancer Wisconsin (Diagnostic) dataset ...
Abstract: Chronic kidney disease (CKD) is a highly progressive condition that can lead to kidney failure and requires early detection to prevent serious complications. This study analyzes the ...
A simple implementation of the Nadaraya-Watson kernel regression estimator for usage with scikit-learn. Please note that the parameterization is slightly different from this other library. In my ...
A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...
ABSTRACT: Earned Value Management (EVM) has emerged as an effective project monitoring and control method while the construction industry has lagged other industries, such as defense and aerospace, in ...
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