Learn IT - Books tags inference

An Elementary Introduction to Statistical Learning Theory

John Wiley & Sons, 2011

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning

A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible...

Why: A Guide to Finding and Using Causes

O'Reilly, 2015

Can drinking coffee help people live longer? What makes a stock’s price go up? Why did you get the flu? Causal questions like these arise on a regular basis, but most people likely have not thought deeply about how to answer them.

This book helps you think about causality in a structured way: What is a cause, what...

Reinforcement and Systemic Machine Learning for Decision Making

John Wiley & Sons, 2012

Reinforcement and Systemic Machine Learning for Decision Making

There are always difficulties in making machines that learn from experience. Complete information is not always available—or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the...

Constraint Networks: Targeting Simplicity for Techniques and Algorithms

John Wiley & Sons, 2009

A major challenge in constraint programming is to develop efficient generic approaches to solve instances of the constraint satisfaction problem (CSP). With this aim in mind, this book provides an accessible synthesis of the author's research and work in this area, divided into four main topics: representation, inference, search, and...

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,...

Functional Programming: A PragPub Anthology: Exploring Clojure, Elixir, Haskell, Scala, and Swift

Pragmatic Bookshelf, 2017

Explore functional programming and discover new ways of thinking about code. You know you need to master functional programming, but learning one functional language is only the start. In this book, through articles drawn from PragPub magazine and articles written specifically for this book, you'll explore functional...

Data Analysis Using Regression and Multilevel/Hierarchical Models

Cambridge University Press, 2006

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using...

Modern Statistical Methods for Astronomy: With R Applications

Cambridge University Press, 2012

Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to...

Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)

Springer, 2008

As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing...

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Springer, 2019

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

Pro TypeScript: Application-Scale JavaScript Development

Apress, 2017

Explore the features of this innovative open source language in depth, from working with the type system through object-orientation to understanding the runtime and the TypeScript compiler. This fully revised and updated second edition of Steve Fenton’s popular book covers everything you need to discover this fascinating...

Artificial Psychology: Psychological Modeling and Testing of AI Systems

Springer, 2019

This book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are...

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