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Software for Data Analysis: Programming with R (Statistics and Computing)
Software for Data Analysis: Programming with R (Statistics and Computing)
This is a book about Software for Data Analysis: using computer software to extract information from some source of data by organizing, visualizing, modeling, or performing any other relevant computation on the data. We all seem to be swimming in oceans of data in the modern world, and tasks ranging from scientific research to managing a business...
New Challenges in Applied Intelligence Technologies (Studies in Computational Intelligence)
New Challenges in Applied Intelligence Technologies (Studies in Computational Intelligence)
The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of natural behavior. This class of technologies consists of such important approaches as data mining algorithms, neural networks, genetic algorithms, fuzzy...
Design and Analysis of Learning Classifier Systems: A Probabilistic Approach (Studies in Computational Intelligence)
Design and Analysis of Learning Classifier Systems: A Probabilistic Approach (Studies in Computational Intelligence)
This book provides a comprehensive introduction to the design and analysis of Learning Classifier Systems (LCS) from the perspective of machine learning. LCS are a family of methods for handling unsupervised learning, supervised learning and sequential decision tasks by decomposing larger problem spaces into easy-to-handle subproblems. Contrary to...
Handbook of Parallel Computing: Models, Algorithms and Applications (Chapman & Hall/Crc Computer & Information Science Series)
Handbook of Parallel Computing: Models, Algorithms and Applications (Chapman & Hall/Crc Computer & Information Science Series)
We live in an era in which parallel computing has become mainstream and very affordable. This is mainly because hardware costs have come down rapidly. With the advent of the Internet, we also experience the phenomenon of data explosion in every application of interest. Processing voluminous datasets is highly computation intensive. Parallel...
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed...
Colossus: The Secrets of Bletchley Park's Code-breaking Computers (Popular Science)
Colossus: The Secrets of Bletchley Park's Code-breaking Computers (Popular Science)
"An excellent, ground breaking book, highly recommended."--Books-On-Line

The American ENIAC is customarily regarded as having been the starting point of electronic computation. This book rewrites the history of computer science, arguing that in reality Colossus--the giant computer built by the British secret service during
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Excel by Example: A Microsoft Excel Cookbook for Electronics Engineers
Excel by Example: A Microsoft Excel Cookbook for Electronics Engineers
The spreadsheet has become a ubiquitous engineering tool, and Microsoft Excel is the standard spreadsheet software package. Over the years, Excel has become such a complex program that most engineers understand and use only a tiny part of its power and features. This book is aimed at electronics engineers and technicians in particular, showing them...
Handbook of Logic in Computer Science 5
Handbook of Logic in Computer Science 5
"Oxford University Press publishes a wonderful series of books entitled Handbook of Logic in Computer Science. ... Volume 5: Logic and Algebraic Methods, has I think the best discussion of abstract data types that I have read."--he Bulletin of Mathematics Books

Logic is now widely recognized as one of the foundational
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The Physics of Information Technology
The Physics of Information Technology
"...throughout the text, Gershenfeld retains much of the conversational tone and spontaneity of a lecture. At its best, this makes for enjoyable reading, with interesting tidbits and asides that enliven the discussions....Gershenfeld's book will be valuable for physical scientists looking for an enjoyable introduction to the information...
An Executive's Guide to Information Technology: Principles, Business Models, and Terminology
An Executive's Guide to Information Technology: Principles, Business Models, and Terminology
Assessing the most valuable technology for an organization is becoming a growing challenge for business professionals confronted with an expanding array of options. This book is an A-Z compendium of technological terms written for the non-technical executive, allowing quick identification of what the term is and why it is significant. This is more...
Principles of Solid Mechanics
Principles of Solid Mechanics
There is no area of applied science more diverse and powerful than the mechanics of deformable solids nor one with a broader and richer history. From Galileo and Hooke through Coulomb, Maxwell, and Kelvin to von Neuman and Einstein, the question of how solids behave for structural applications has been a basic theme for physical research exciting...
Mathematical Principles of Optical Fiber Communication (CBMS-NSF Regional Conference Series in Applied Mathematics)
Mathematical Principles of Optical Fiber Communication (CBMS-NSF Regional Conference Series in Applied Mathematics)
With the maturing of mobile portable telephony and the emerging broadband access market, greater fiber transmission capacity will be essential in the early 21st century. Since the demand for more capacity drives the development of new optics-based technologies, fiber optics therefore remains a vibrant area for research. Mathematical Principles of...
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