This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning fills the need for a general textbook that also offers theoretical details and an emphasis on proofs. Certain topics that are often treated with insufficient attention are discussed in more detail here; for example, entire chapters are devoted to regression, multi-class classification, and ranking. The first three chapters lay the theoretical foundation for what follows, but each remaining chapter is mostly self-contained. The appendix offers a concise probability review, a short introduction to convex optimization, tools for concentration bounds, and several basic properties of matrices and norms used in the book.
The book is intended for graduate students and researchers in machine learning, statistics, and related areas; it can be used either as a textbook or as a reference text for a research seminar.
Ubiquitous Multimedia and Mobile Agents: Models and Implementations
Ubiquitous multimedia systems, or mobile multimedia systems, offer the promise of pervasive delivery of multimedia content to mobile users and their handheld devices.
Ubiquitous Multimedia and Mobile Agents: Models and Implementations provides the hybridization of two paradigms, namely, ubiquitous/mobile multimedia and mobile...
Microsoft System Center Reporting Cookbook
Over 40 practical recipes to help you plan, create, and manage reports efficiently for all components of Microsoft System Center
About This Book
Create and deliver high value reports to show the value of your System Center investment
Gain access to real world solutions in the art and...
An indispensable introductory guide to creating web pages using the most up-to-date standards
Co-design Approaches to Dependable Networked Control Systems (ISTE)
This book describes co-design approaches, and establishes the links between the QoC (Quality of Control) and QoS (Quality of Service) of the network and computing resources. The methods and tools described in this book take into account, at design level, various parameters and properties that must be satisfied by systems controlled through a...
Basic Concepts of Psychiatric-Mental Health Nursing
Now with an exciting 4-color design, this core text continues to present succinct coverage of psychiatric-mental health nursing, emphasizing critical concepts in the continuum of care settings, client and family education and student self-awareness. This edition features two new chapters: “Student Issues and Concerns” and...