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Threat Forecasting: Leveraging Big Data for Predictive Analysis
Threat Forecasting: Leveraging Big Data for Predictive Analysis

Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop...

Translating Statistics to Make Decisions: A Guide for the Non-Statistician
Translating Statistics to Make Decisions: A Guide for the Non-Statistician

Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians―and also statisticians who present statistical reports to non-statisticians―must avoid if statistical results are to be correctly used for...

Computational Intelligence in Biomedical Engineering
Computational Intelligence in Biomedical Engineering

As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive...

Building Machine Learning Systems with Python
Building Machine Learning Systems with Python

As the Big Data explosion continues at an almost incomprehensible rate, being able to understand and process it becomes even more challenging. With Building Machine Learning Systems with Python, you'll learn everything you need to tackle the modern data deluge - by harnessing the unique capabilities of Python and its extensive range of...

Co-evolution of Intelligent Socio-technical Systems: Modelling and Applications in Large Scale Emergency and Transport Domains (Understanding Complex Systems)
Co-evolution of Intelligent Socio-technical Systems: Modelling and Applications in Large Scale Emergency and Transport Domains (Understanding Complex Systems)

As the interconnectivity between humans through technical devices is becoming ubiquitous, the next step is already in the making: ambient intelligence, i.e. smart (technical) environments, which will eventually play the same active role in communication as the human players, leading to a co-evolution in all domains where real-time...

Reaction-Diffusion Automata: Phenomenology, Localisations, Computation (Emergence, Complexity and Computation)
Reaction-Diffusion Automata: Phenomenology, Localisations, Computation (Emergence, Complexity and Computation)

Reaction-diffusion and excitable media are amongst most intriguing substrates. Despite apparent simplicity of the physical processes involved the media exhibit a wide range of amazing patterns: from target and spiral waves to travelling localisations and stationary breathing patterns. These media are at the heart of most natural processes,...

Learning Geospatial Analysis with Python
Learning Geospatial Analysis with Python

If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

Overview

  • Construct applications for GIS development by exploiting...
Introduction to Machine Learning with R: Rigorous Mathematical Analysis
Introduction to Machine Learning with R: Rigorous Mathematical Analysis

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more...

Digital Communications
Digital Communications

This is a modern textbook on digital communications and is designed for senior undergraduate and graduate students, whilst also providing a valuable reference for those working in the telecommunications industry.  It provides a simple and thorough access to a wide range of topics through use of figures, tables, examples and problem...

Hybrid Electric Vehicle System Modeling and Control (Automotive Series)
Hybrid Electric Vehicle System Modeling and Control (Automotive Series)

This new edition includes approximately 30% new materials covering the following information that has been added to this important work:

- extends the contents on Li-ion batteries detailing the positive and negative electrodes and characteristics and other components including binder, electrolyte, separator and foils, and the...

Workflows: Expanding Architecture's Territory in the Design and Delivery of Buildings (Architectural Design)
Workflows: Expanding Architecture's Territory in the Design and Delivery of Buildings (Architectural Design)

Workflows are being rethought and remodelled across the architecture, engineering and construction (AEC) spectrum. The synthesis of building information modelling (BIM) platforms with digital simulation techniques and increasing access to data, charting building performance, is allowing architects to engage in the generation of new workflows...

Applied Data Mining for Business and Industry
Applied Data Mining for Business and Industry

The increasing availability of data in our current, informationoverloaded society has led to the need for valid tools for itsmodelling and analysis. Data mining and applied statistical methodsare the appropriate tools to extract knowledge from such data. Thisbook provides an accessible introduction to data mining methods ina consistent and...

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