Learn IT - Books tags inference

Applied Statistics Using SPSS, STATISTICA, MATLAB and R

Springer, 2007

From the reviews:

"Aimed at students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this book provides a comprehensive coverage of the main statistical analysis topics … . The relevant notions and methods are explained concisely,...

Doing Data Science: Straight Talk from the Frontline

O'Reilly, 2013

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to...

Introduction to Pragmatics

John Wiley & Sons, 2012

Introduction to Pragmatics guides students throughtraditional and new approaches in the field, focusing particularlyon phenomena at the elusive semantics/pragmatics boundary toexplore the role of context in linguistic communication.

Offers students an accessible introduction and an up-to-datesurvey of the field,...

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)

Cambridge University Press, 2016

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. “Big data,” “data science,” and “machine learning” have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science...

Advanced Signal Processing and Noise Reduction, 2nd Edition

John Wiley & Sons, 2000

This book presents a broad range of theory and application of statistical signal processing. The emphasis is on digital noise reduction algorithms, particularly important in the field of mobile communication. Vaseghi covers a broad range of applications, including spectral estimation, channel equalization, speech coding over noisy channels,...

Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)

John Wiley & Sons, 2012

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and...

Linguistic Structure Prediction (Synthesis Lectures on Human Language Technologies)

Morgan and Claypool Publishers, 2011

A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or...

Think Stats

O'Reilly, 2014

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

By working with a single case study throughout this...

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships

John Wiley & Sons, 2002

Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial...

Perspectives of Neural-Symbolic Integration (Studies in Computational Intelligence)

Springer, 2007

The human brain possesses the remarkable capability of understanding, interpreting, and producing human language, thereby relying mostly on the left hemisphere. The ability to acquire language is innate as can be seen from disorders such as specific language impairment (SLI), which manifests itself in a missing sense for grammaticality. Language...

Intelligent Data Analysis

Springer, 2007

This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The ten coherently written chapters by leading experts provide complete coverage of the core issues.

The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of...

Algorithmic Learning Theory: 15th International Conference, ALT 2004, Padova, Italy, October 2-5, 2004. Proceedings

Springer, 2004

This book constitutes the refereed proceedings of the 15th International Conference on Algorithmic Learning Theory, ALT 2004, held in Padova, Italy in October 2004.

The 29 revised full papers presented together with 5 invited papers and 3 tutorial summaries were carefully reviewed and selected from 91 submissions. The papers are organized in...

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