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Getting Started with Kubernetes - Second Edition
Getting Started with Kubernetes - Second Edition

Learn how to schedule and run application containers using Kubernetes.

About This Book

  • Get well-versed with the fundamentals of Kubernetes and get it production-ready for deployments
  • Confidently manage your container clusters and networks using Kubernetes
  • This practical...
Epidemiology and Biostatistics: Practice Problem Workbook
Epidemiology and Biostatistics: Practice Problem Workbook
This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside the textbook "Epidemiology and Biostatistics, 2nd Edition". It is written in concise and organized fashion with many examples to illustrate the concepts deriving from a collection of written materials...
Portfolio Management: Theory and Practice
Portfolio Management: Theory and Practice

A career’s worth of portfolio management knowledge in one thorough, efficient guide

Portfolio Management is an authoritative guide for those who wish to manage money professionally. This invaluable resource presents effective portfolio management practices supported by their underlying theory,...

C in Depth
C in Depth
In the third edition of the book C in depth , the authors explain the basics of the programming language while maintaining the integrity and clarity of the programs. The book can be utilized by both beginners and advanced level programmers as a self-evaluation and learning source. There are more than 310 programs with explanations to illustrate...
Mastering Xcode 4: Develop and Design
Mastering Xcode 4: Develop and Design
This book is an intermediate-level introduction to Xcode 4, Apple’s integrated development environment. It assumes you have some development experience and are familiar with the Cocoa API. It won’t teach you how to write code or much at all about Cocoa. There are other books for that. This one is strictly focused on...
Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab

This is an introductory to intermediate level text on the scienceof image processing, which employs the Matlab programming languageto illustrate some of the elementary, key concepts in modern imageprocessing and pattern recognition. The approach taken isessentially practical and the book offers a framework within whichthe concepts can be...

Advanced Data Structures
Advanced Data Structures
Advanced Data Structures presents a comprehensive look at the ideas, analysis, and implementation details of data structures as a specialized topic in applied algorithms. Data structures are how data is stored within a computer, and how one can go about searching for data within. This text examines efficient ways to search and update sets of...
Temporal Type Theory: A Topos-Theoretic Approach to Systems and Behavior (Progress in Computer Science and Applied Logic)
Temporal Type Theory: A Topos-Theoretic Approach to Systems and Behavior (Progress in Computer Science and Applied Logic)
This innovative monograph explores a new mathematical formalism in higher-order temporal logic for proving properties about the behavior of systems. Developed by the authors, the goal of this novel approach is to explain what occurs when multiple, distinct system components interact by using a category-theoretic description of behavior...
A Course in Real Analysis
A Course in Real Analysis

A Course in Real Analysis provides a firm foundation in real analysis concepts and principles while presenting a broad range of topics in a clear and concise manner. This student-oriented text balances theory and applications, and contains a wealth of examples and exercises. Throughout the text, the authors adhere to the idea that most...

Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
Polynomial optimization, as its name suggests, is used to optimize a generic multivariate polynomial function, subject to some suitable polynomial equality and/or inequality constraints. Such problem formulation dates back to the nineteenth century when the relationship between nonnegative polynomials and sum of squares (SOS) was...
Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications)
Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications)
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to...
Computational Intelligence Paradigms: Theory & Applications using MATLAB
Computational Intelligence Paradigms: Theory & Applications using MATLAB

Offering a wide range of programming examples implemented in MATLAB®, Computational Intelligence Paradigms: Theory and Applications Using MATLAB® presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy...

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