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Probability: With Applications and R
Probability: With Applications and R

An introduction to probability at the undergraduate level

Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.

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Introduction to Linear Optimization and Extensions with MATLAB® (Operations Research Series)
Introduction to Linear Optimization and Extensions with MATLAB® (Operations Research Series)

Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics,...

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception...

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...
Native Docker Clustering with Swarm
Native Docker Clustering with Swarm

Key Features

  • Get to grips with Docker Swarm, one of the key components of the Docker ecosystem.
  • Optimize Swarm and SwarmKit features for scaling massive applications through containers.
  • Learn about Docker’s scheduling tricks, high availability, security, and platform scalability.
  • ...
Variants of Evolutionary Algorithms for Real-World Applications
Variants of Evolutionary Algorithms for Real-World Applications

Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book...

Advanced Project Portfolio Management and the PMO: Multiplying ROI at Warp Speed
Advanced Project Portfolio Management and the PMO: Multiplying ROI at Warp Speed

This comprehensive book covers the strategy, tactics, and processes needed for successful project portfolio management. It outlines a road map to unprecedented project management improvement and includes a detailed implementation plan for both strategic planning and a PMO that gives you measurable results in weeks. The author delineates four...

Dynamic Speech Models (Synthesis Lectures on Speech and Audio Processing)
Dynamic Speech Models (Synthesis Lectures on Speech and Audio Processing)
In a broad sense, speech dynamics are time-varying or temporal characteristics in all stages of the human speech communication process. This process, sometimes referred to as speech chain [1], starts with the formation of a linguistic message in the speaker’s brain and ends with the arrival of the message in the...
Learning Penetration Testing with Python
Learning Penetration Testing with Python

Utilize Python scripting to execute effective and efficient penetration tests

About This Book

  • Understand how and where Python scripts meet the need for penetration testing
  • Familiarise yourself with the process of highlighting a specific methodology to exploit an environment to fetch...
Manufacturing Execution System - MES
Manufacturing Execution System - MES
The classical factory fades into history as production plants today develop into modern service centers. Problems in management arise for which many companies are not yet prepared: economic efficiency of modern added value is not a property of products alone but of the process. Decisive potential in business now is a question of process capability,...
The Variational Bayes Method in Signal Processing
The Variational Bayes Method in Signal Processing
This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It reviews the VB distributional approximation, showing...
Markov Models for Pattern Recognition: From Theory to Applications
Markov Models for Pattern Recognition: From Theory to Applications

The development of pattern recognition methods on the basis of so-called Markov models is tightly coupled to the technological progress in the field of automatic speech recognition. Today, however, Markov chain and hidden Markov models are also applied in many other fields where the task is the modeling and analysis of chronologically...

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