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Learning from Data: Concepts, Theory, and Methods
Learning from Data: Concepts, Theory, and Methods
A learning method is an algorithm (usually implemented in software) that esti- mates an unknown mapping (dependency) between a system’s inputs and outputs from the available data, namely from known (input, output) samples. Once such a dependency has been accurately estimated, it can be used for prediction of future system...
Training Kit (Exam 70-462): Administering Microsoft SQL Server 2012 Databases
Training Kit (Exam 70-462): Administering Microsoft SQL Server 2012 Databases

EXAM PREP GUIDE

Ace your preparation for the skills measured by Exam 70-462—and on the job—with this official Microsoft study guide. Work at your own pace through a series of lessons and reviews that fully cover each exam objective. Then, reinforce and apply what you’ve learned through
...

Coding Places: Software Practice in a South American City (Acting with Technology)
Coding Places: Software Practice in a South American City (Acting with Technology)

Software development would seem to be a quintessential example of today's Internet-enabled "knowledge work"--a global profession not bound by the constraints of geography. In Coding Places, Yuri Takhteyev looks at the work of software developers who inhabit two contexts: a geographical area--in this case, greater Rio de...

High Interstitial Stainless Austenitic Steels (Engineering Materials)
High Interstitial Stainless Austenitic Steels (Engineering Materials)

High Interstitial Stainless Austenitic Steels is of interest to all engineers and resaerchers working with stainless steel, either at universities or R&D departments in Industry. The new applications described appeal to design engineers while procees engineers find interesting challenges. These novel steels enter more and more industrial...

Bayesian Essentials with R (Springer Texts in Statistics)
Bayesian Essentials with R (Springer Texts in Statistics)

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its...

Neural Network Design and the Complexity of Learning
Neural Network Design and the Complexity of Learning

Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier.

Judd looks beyond the scope
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Marketing for Tourism
Marketing for Tourism

The fourth edition of Marketing for Tourism provides an introduction to the general theory of marketing and its application in the various sectors of the travel and tourism industry. This leading text has been fully revised and updated to take account of recent changes within this dynamic and fast-moving sector. A number of in-depth case...

Essentials of Marketing
Essentials of Marketing

Brassington and Pettitt's Essentials of Marketing is the indispensable introduction to the subject for all students taking a short or one-semester Marketing module whatever their background. The second edition retains the lively writing style and authority of the authors' Principles of Marketing, and highlights the links between...

Nothing to Hide: The False Tradeoff between Privacy and Security
Nothing to Hide: The False Tradeoff between Privacy and Security

"If you've got nothing to hide," many people say, "you shouldn't worry about government surveillance." Others argue that we must sacrifice privacy for security. But as Daniel J. Solove argues in this important book, these arguments and many others are flawed. They are based on mistaken views about what it means to...

International Marketing: Strategy and Theory
International Marketing: Strategy and Theory

Marketing is a universal activity that is widely applicable, regardless of the political, social or economic systems of a particular country. However, this doesn't mean that consumers in different parts of the world should be satisified in the same way.

The 4th edition of International Marketing has been written
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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...
Visual Data Mining: The VisMiner Approach
Visual Data Mining: The VisMiner Approach

A visual approach to data mining.

Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. 

This book introduces a visual methodology for data...

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