Machine Learning Behavioural

Combine the power of Machine Learning, Deep Learning and Computer Vision to make a Self-Driving Car!

Combine the power of Machine Learning, Deep Learning and Computer Vision to make a Self-Driving Car!

Combine the power of Machine Learning, Deep Learning and Computer Vision to make a Self-Driving Car!

How to understand human processes integrated with data driven decision making which can be transformed into Automation

The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks.

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes.

Fundamentals of Artificial Intelligence (Beginner to Advanced) Anyone one can learn artificial intelligence