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Kernel Smoothing: Principles, Methods and Applications
Kernel Smoothing: Principles, Methods and Applications

Comprehensive theoretical overview of kernel smoothing methods with motivating examples

Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of...

The Cyber Risk Handbook: Creating and Measuring Effective Cybersecurity Capabilities (Wiley Finance)
The Cyber Risk Handbook: Creating and Measuring Effective Cybersecurity Capabilities (Wiley Finance)

Actionable guidance and expert perspective for real-world cybersecurity

The Cyber Risk Handbook is the practitioner's guide to implementing, measuring and improving the counter-cyber capabilities of the modern enterprise. The first resource of its kind, this book provides authoritative guidance for real-world...

Agile Model-Based Development Using UML-RSDS
Agile Model-Based Development Using UML-RSDS

This book describes the concepts and application of model-based development (MBD), model transformations, and Agile MBD to a wide range of software systems. It covers systems requirements engineering, system specification and design, verification, reuse, and system composition in the context of Agile MBD. Examples of applications in...

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...

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,...

Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)
Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)

This book covers a highly relevant and timely topic that is of wide interest, especially in finance, engineering and computational biology. The introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers. While there are several recent texts available that cover...

Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

A practical guide to mastering reinforcement learning algorithms using Keras

Key Features

  • Build projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into action
  • Get to grips with Keras and practice on real-world unstructured...
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

  • Build a variety of Hidden Markov Models (HMM)
  • Create and apply models to any sequence of data to analyze, predict, and extract valuable...
The Oxford Handbook of Ethics and Economics
The Oxford Handbook of Ethics and Economics
Economics and ethics are both valuable tools for analyzing the behavior and actions of human beings and institutions. Adam Smith, the father of modern economics, considered them two sides of the same coin, but since economics was formalized and mathematicised in the late 1800s and early 1900s, the fields have largely followed separate...
Fundamentals of Probability: With Stochastic Processes
Fundamentals of Probability: With Stochastic Processes

"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it...

The Making of a Democratic Economy: How to Build Prosperity for the Many, Not the Few
The Making of a Democratic Economy: How to Build Prosperity for the Many, Not the Few
Our economy is designed by the 1 percent, for the 1 percent. This book offers a compelling vision of an equitable, ecologically sustainable alternative that meets the essential needs of all people.

We live in a world where twenty-six billionaires own as much wealth as half the planet's population. The extractive
...
Optimization and Applications: 9th International Conference, OPTIMA 2018, Petrovac, Montenegro, October 1–5, 2018, Revised Selected Papers (Communications in Computer and Information Science)
Optimization and Applications: 9th International Conference, OPTIMA 2018, Petrovac, Montenegro, October 1–5, 2018, Revised Selected Papers (Communications in Computer and Information Science)
This book constitutes the refereed proceedings of the 9th International Conference on Optimization and Applications, OPTIMA 2018, held in Petrovac, Montenegro, in October 2018. The 35 revised full papers and the one short paper presented were carefully reviewed and selected from 103 submissions. The papers are organized in...
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