Textbook in PDF format

Artificial Intelligence, Volume 49 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics. Chapters in this new release include AI Teacher-Student based Adaptive Structural Deep Learning Model and Its Estimating Uncertainty of Image Data, Machine-derived Intelligence: Computations Beyond the Null Hypothesis, Object oriented basis of artificial intelligence methodologies I in Judicial Systems in India, Artificial Intelligence in Systems Biology, Machine-Learning in Geometry and Physics, Innovation and Machine Learning: Crowdsourcing Open-Source Natural Language Processing (NLP) Algorithms to Advance Public Health Surveillance, and more. Other chapters cover Learning and identity testing of Markov chains, Data privacy for machine learning and statistics, and The interface between AI and Mathematics.
Contributors
Preface
Foundations and methods
Object-oriented basis of artificial intelligence methodologies
Machine learning in physics and geometry
Probability inspired models
Learning and identting of Markov chains
Data privacy for machine learning and statistics
A Teacher–Student-based adaptive structural deep learning model and its estimating uncertainty of image data
Applications
Artificial intelligence in systems biology
The calculated uncertainty of scientific discovery: From Maths to Deep Maths
Indian courts of law can benefit immensely by adopting artificial intelligence methods in bail applications for speedy and accurate justice
Index