Can I read Hyperparameter Tuning in Random Forest and Neural Network Classification: An Application to Predict Health Expenditure Per Capita on EtoBox?

Hyperparameter Tuning in Random Forest and Neural Network Classification: An Application to Predict Health Expenditure Per Capita by Gulcin Caliskan; Songul Cinaroglu is a book available to read on EtoBox.

What is Hyperparameter Tuning in Random Forest and Neural Network Classification: An Application to Predict Health Expenditure Per Capita about?

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 6–7, 2022. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.

Author

Gulcin Caliskan; Songul Cinaroglu

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2022

Language

EN

ISBN

9789811960031

Subjects

Computer Science, Psychology, Engineering