Vaibhav Chaudhari

Vaibhav Chaudhari|Vaibhav Chaudhari - Contributing Author

Publications

Methods, Techniques, and Application of Explainable Artificial Intelligence
Methods, Techniques, and Application of Explainable Artificial Intelligence
Ankur Dumka, Vaibhav Chaudhari, Anil Kumar Bisht, Ruchira Rawat, Arnav Pandey. © 2024. 18 pages.
With advancement in machine learning, the use of machine learning has been increased, and explainable artificial intelligence (XAI) has emerged as an area of research and...
An Introduction to Principal Component Analysis and Its Applications
An Introduction to Principal Component Analysis and Its Applications
Vaibhav Chaudhari, Ankur Dumka. © 2023. 17 pages.
Huge datasets are progressively normal and are frequently hard to decipher. Principle component analysis (PCA) is used for reducing dimensions of huge datasets and thus used in...
A Meta-Analytical Review of Deep Learning Prediction Models for Big Data
A Meta-Analytical Review of Deep Learning Prediction Models for Big Data
Parag Verma, Vaibhav Chaudhari, Ankur Dumka, Raksh Pal Singh Gangwar. © 2023. 26 pages.
The article presents an introductory review of various approaches of deep learning including convolutional neural networks (CNNs), deep belief networks (DBNs), and auto-encoders...