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

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...

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable...
Linear and Nonlinear Multivariable Feedback Control: A Classical Approach
Linear and Nonlinear Multivariable Feedback Control: A Classical Approach

Automatic feedback control systems play crucial roles in many fields, including manufacturing industries, communications, naval and space systems. At its simplest, a control system represents a feedback loop in which the difference between the ideal (input) and actual (output) signals is used to modify the behaviour of the system. Control...

Bioinformatics For Dummies (Math & Science)
Bioinformatics For Dummies (Math & Science)
Search databases and analyze sequences like a pro

Get the most out of your PC and the Web with the right tools

Explore the human genome and analyze DNA — without leaving your desktop! All it takes is the basics of molecular biology and the wealth of information in this friendly guide. You'll discover the...

Fundamentals of Robotics: Linking Perception to Action (Machine Perception and Artificial Intelligence, 54)
Fundamentals of Robotics: Linking Perception to Action (Machine Perception and Artificial Intelligence, 54)
Tomorrow's robots, which includes the humanoid robot, can perform task like tutoring children, working as tour guides, driving humans to and from work, do the family shopping etc. Tomorrow's robots will enhance lives in ways we never dreamed possible. No time to attend the decisive meeting on Asian strategy? Let your robot go for you and make the...
Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results
Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data.

Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This...

Microarrays in Clinical Diagnostics (Methods in Molecular Medicine)
Microarrays in Clinical Diagnostics (Methods in Molecular Medicine)
Within the last decade, microarray technology has evolved from an emerging technology developed and used by a few laboratories into a well-established technology used in laboratories all over the world. In fact, the need to characterize genetic alterations is one of the highest priorities for the future of medicine and the...
Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab

This is an introductory to intermediate level text on the scienceof image processing, which employs the Matlab programming languageto illustrate some of the elementary, key concepts in modern imageprocessing and pattern recognition. The approach taken isessentially practical and the book offers a framework within whichthe concepts can be...

Fundamentals of Digital Imaging in Medicine
Fundamentals of Digital Imaging in Medicine
There was a time not so long ago, well within the memory of many of us, when medical imaging was an analog process in which X-rays, or reflected ultrasound signals, exiting from a patient were intercepted by a detector, and their intensity depicted as bright spots on a fluorescent screen or dark areas in a photographic film. The...
Digital Signal Processing with Examples in MATLAB® (Electrical Engineering & Applied Signal Processing Series)
Digital Signal Processing with Examples in MATLAB® (Electrical Engineering & Applied Signal Processing Series)

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including...

Applied Computing in Medicine and Health (Emerging Topics in Computer Science and Applied Computing)
Applied Computing in Medicine and Health (Emerging Topics in Computer Science and Applied Computing)

Applied Computing in Medicine and Health is a comprehensive presentation of on-going investigations into current applied computing challenges and advances, with a focus on a particular class of applications, primarily artificial intelligence methods and techniques in medicine and health.

Applied computing is the use of...

Inflammation, Advancing Age and Nutrition: Research and Clinical Interventions
Inflammation, Advancing Age and Nutrition: Research and Clinical Interventions

The book provides a comprehensive overview to understanding the integrated impact of the concepts of cellular and molecular aspects, models, environmental factors, and lifestyle involved in premature aging. Additionally, it examines how functional food, dietary nutraceuticals or pharmacological compounds can reverse inflammation and premature...

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