This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification.... Læs mere
This book discusses various aspects of agent-based modeling and simulation using FLAME (Flexible Large-scale Agent-Based Modeling Environment).... Læs mere
This book redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed,... Læs mere
AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life... Læs mere
This book introduces reinforcement learning, and provides novel ideas and use cases to demonstrate the benefits of using reinforcement learning for Cyber Physical Systems. Two important case studies on applying reinforcement learning to cybersecurity problems are included.
A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to real world problems. This book tackles this... Læs mere
Based on the author’s experience teaching data science for more than 10 years, Mathematics and R Programming for Machine Learning reveals how machine learning algorithms do their magic and explains how logic can be implemented in code.
Based on the author’s experience teaching data science for more than 10 years, Mathematics and R Programming for Machine Learning reveals how machine learning algorithms do their magic and explains how logic can be implemented in code.
This book shows how machine learning can be applied to address real-world problems in the fourth industrial revolution and provides the required knowledge and... Læs mere
Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the... Læs mere