Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...
Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...
The Principal Component Analysis (PCA) is a procedure extensively employed in data science with diverse purposes. It has found widespread use in making sense of data collected from Molecular Dynamics ...
Abstract: In the construction of machine learning model, when the input data dimension is too large and the data characteristics are particularly complex, the complexity of the model will increase, ...
Implementing PCA (Principal Component Analysis) from scratch for Dimensionality Reduction which is Reducing the number of input variables for a predictive model ...
Hospitals across the country are using software powered by algorithms with racial biases, according to a new report from a coalition of healthcare providers. This can cause physicians to misdiagnose ...
In this paper, the authors discuss some of the popular face recognition algorithms. Face recognition is widely used biometric technique at many places like international airports, gaming industries ...
An internal Facebook report found that the social media platform’s algorithms – the rules its computers follow in deciding the content that you see – enabled disinformation campaigns based in Eastern ...
ABSTRACT: Tracking and segmentation of moving objects are suffering from many problems including those caused by elimination changes, noise and shadows. A modified algorithm for the adaptive ...
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