An Introduction to Numerical Methods: A MATLAB® Approach, Fourth Edition

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

CRC Press, 2019

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal...

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Springer, 2019

The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks...

MATLAB: An Introduction with Applications

New Age Publications, 2009

The main objective of this book is to provide the students with the opportunity to improve their programming skills using the MATLAB environment to implement algorithms and to teach the use of MATLAB as a tool in solving problems in engineering. This book includes the coverage of basics of MATLAB and application of MATLAB software to...

Modelling Metabolism with Mathematica

CRC Press, 2003

With the advent of sophisticated general programming environments like Mathematica, the task of developing new models of metabolism and visualizing their responses has become accessible to students of biochemistry and the life sciences in general. Modelling Metabolism with Mathematica presents the approaches, methods, tools, and algorithms...

Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Packt Publishing, 2018

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

Gain real-world contextualization using deep learning problems concerning research and application

Get to know the best practices to improve and optimize your machine...

Decision Science in Action: Theory and Applications of Modern Decision Analytic Optimisation (Asset Analytics)

Springer, 2018

This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear optimization problems, but due to their complex nature, it is not always possible to solve them using conventional optimization theory....