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Sudoku Programming with C
Sudoku Programming with C

Sudoku Programming with C teaches you how to write computer programs to solve and generate Sudoku puzzles. This is a practical book that will provide you with everything you need to write your own books of Sudoku Classic and Samurai puzzles. But be warned: after reading it, you'll discover that the puzzles in...

Clojure for Machine Learning
Clojure for Machine Learning

In this compelling introduction to machine learning techniques and algorithms, you’ll learn how to use your knowledge of Clojure. From building systems to using machine learning techniques in cloud architecture, it’s the complete guide.

Overview

  • Covers a lot of machine learning techniques with...
Computer Vision Analysis of Image Motion by Variational Methods (Springer Topics in Signal Processing)
Computer Vision Analysis of Image Motion by Variational Methods (Springer Topics in Signal Processing)

This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective...

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)
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...
Guide to Information Sources in Mathematics and Statistics (Reference Sources in Science and Technology)
Guide to Information Sources in Mathematics and Statistics (Reference Sources in Science and Technology)
This book was conceived as a reference for librarians, mathematicians, and statisticians involved in college- and research-level mathematics and statistics in the twenty-first century. Now in a time of transition in scholarly communications in mathematics, practices that have changed little for a hundred years are giving way to new modes of...
Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)
Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)

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...

Maple By Example, Third Edition
Maple By Example, Third Edition
"Overall, I found the book very nice to read and easy to follow. All major aspects of Maple that a novice to intermediate user would come across are covered."
- Laurent Bernard, Maplesoft, Inc.

"The book is eminently readable with a good narrative style and a good blend of didactic exposition followed by the relevant
...
Goldfrank's Toxicologic Emergencies
Goldfrank's Toxicologic Emergencies
The #1 reference in the field for the last quarter of a century, Goldfrank's Toxicologic Emergencies, Eighth Edition, has been completely updated to equip emergency physicians with today's most authoritative guide to clinical toxicology. The book presents unsurpassed coverage of all aspects of toxicologic emergencies_from pharmacology and clinical...
Foundations of Machine Learning (Adaptive Computation and Machine Learning series)
Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise...

Basic Statistics: Tales of Distributions
Basic Statistics: Tales of Distributions

Learn statistical reasoning and problem solving from a best--selling author who uses a wealth of examples from the social and behavioral sciences,, education,, nursing/allied health,, and business fields----as well as examples from everyday life--to help you learn and understand.. Praised for his clear explanations,, Spatz shows you how to...

Everyday Information: The Evolution of Information Seeking in America (MIT Press)
Everyday Information: The Evolution of Information Seeking in America (MIT Press)

All day, every day, Americans seek information. We research major purchases. We check news and sports. We visit government Web sites for public information and turn to friends for advice about our everyday lives. Although the Internet influences our information-seeking behavior, we gather information from many sources: family and friends,...

Challenges for Computational Intelligence (Studies in Computational Intelligence)
Challenges for Computational Intelligence (Studies in Computational Intelligence)
In the year 1900 at the International Congress of Mathematicians in Paris David Hilbert delivered what is now considered the most important talk ever given in the history of mathematics. In this talk Hilbert outlined his philosophy of mathematics and proposed 23 major problems worth working at in future. Some of these problems were in fact more...
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