Bemærk: Kan ikke leveres før jul.
This book will cover all the topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoenders. The focus will be on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints.
Bemærk: Kan ikke leveres før jul.
This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
This book discusses the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. It describes... Læs mere
Bemærk: Kan ikke leveres før jul.
This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification.... Læs mere
Bemærk: Kan ikke leveres før jul.
This book discusses various aspects of agent-based modeling and simulation using FLAME (Flexible Large-scale Agent-Based Modeling Environment).... Læs mere
Bemærk: Kan ikke leveres før jul.
This book redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed,... Læs mere
Bemærk: Kan ikke leveres før jul.
AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life... Læs mere
Bemærk: Kan ikke leveres før jul.
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.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
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
Bemærk: Kan ikke leveres før jul.
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.