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| | Discrete Mathematics (4th Edition)
Today an increasing proportion of the applications of mathematics involves discrete rather than continuous models. The main reason for this trend is the integration of the computer into more and more of modem society. This book is intended for a one-semester introductory course in discrete mathematics.
Prerequisites Even though a... | | OOP Demystified: A Self-Teaching GuideWant to learn about object-oriented programming quickly and easily? Looking to brush up on modeling, classes, and attributes? Then OOP Demystified is the easy-to-understand, step-by-step guidebook that will help you figure out the ins and outs of object-oriented programming (OOP).
Written for anyone without formal training in... |
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Modal Logic: An Introduction to its Syntax and SemanticsIn this text, a variety of modal logics at the sentential, first-order, and second-order levels are developed with clarity, precision and philosophical insight. All of the S1-S5 modal logics of Lewis and Langford, among others, are constructed. A matrix, or many-valued semantics, for sentential modal logic is formalized, and an important result... | | Mobile Robot Navigation with Intelligent Infrared Image InterpretationMobile robots require the ability to make decisions such as "go through the hedges" or "go around the brick wall." Mobile Robot Navigation with Intelligent Infrared Image Interpretation describes in detail an alternative to GPS navigation: a physics-based adaptive Bayesian pattern classification model that uses a... | | Algorithmics: The Spirit of Computing (3rd Edition)From a review of the first edition:
‘This book is a veritable tour de force. Harel writes with uncommon verve, clarity and imagination.'
‘Through the use of tantalizing questions and aptly chosen and often amusing examples, the author transmits to the reader the excitement and intellectual satisfaction of computer science... |
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Practical Statistics for Data Scientists: 50 Essential Concepts
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their... | | Epistemology, Context, and Formalism (Synthese Library)
The main purpose of the present volume is to advance our understanding of the notions of knowledge and context, the connections between them and the ways in which they can be modeled, in particular formalized – a question of prime importance and utmost relevance to such diverse disciplines as philosophy, linguistics, computer science... | | Bayesian Argumentation: The practical side of probability (Synthese Library)
Relevant to, and drawing from, a range of disciplines, the chapters in this collection show the diversity, and applicability, of research in Bayesian argumentation. Together, they form a challenge to philosophers versed in both the use and criticism of Bayesian models who have largely overlooked their potential in argumentation. Selected from... |
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