Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...
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Neural network cost functions: Which to use and why?
In this video, we will see what is Cost Function, what are the different types of Cost Function in Neural Network, and which ...
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Supervised learning made easy: Real-world example explained
In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...
Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to epidemiological and behavioural factors; however, the biological effects of forced ...
1 College of Rural Revitalization, Jiangsu Open University, Nanjing, China 2 Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing, China Accurate ...
1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...
The output variable must be either continuous nature or real value. The output variable has to be a discrete value. The regression algorithm’s task is mapping input value (x) with continuous output ...
A.I. companies are divided over whether the technology should be freely available to anyone for modifying and copying, or kept close for safekeeping. By Mike Isaac Mike Isaac has written about the ...
In machine learning, multi-task learning (MTL) has emerged as a powerful paradigm that enables concurrent training of multiple interrelated algorithms. By exploiting the inherent connections between ...
Recently Martin, Guerard, and Xia [1] used a new optimal bias robust regression estimator, called the mOpt estimator, in Fama-MacBeth cross-section regressions to study the statistical significance of ...
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