Learn IT - Books tags applied

Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)

Cambridge University Press, 2019

Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical...

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques (Advances in Natural and Technological Hazards Research)

Springer, 2018

This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were...

Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition

Packt Publishing, 2018

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

Key Features

Learn the fundamentals of Python programming with interactive projects

Apply Python to data...

GARCH Models: Structure, Statistical Inference and Financial Applications

John Wiley & Sons, 2019

Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline

This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results...

Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

Packt Publishing, 2018

A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

Key Features

Designed to iteratively develop the skills of Python users who don't have a data science background

Covers the key foundational concepts...

Research Methods in Legal Translation and Interpreting: Crossing Methodological Boundaries (Law, Language and Communication)

Routledge, 2019

The field of Legal translation and interpreting has strongly expanded over recent years. As it has developed into an independent branch of Translation Studies, this book advocates for a substantiated discussion of methods and methodology, as well as knowledge about the variety of approaches actually applied in the field. It is argued...

Global Nonlinear Dynamics for Engineering Design and System Safety (CISM International Centre for Mechanical Sciences (588))

Springer, 2018

This is the first book which exploits concepts and tools of global nonlinear dynamics for bridging the gap between theoretical and practical stability of systems/structures, and for possibly enhancing the engineering design in macro-, micro- and nano-mechanics. Addressed topics include complementing theoretical and practical stability to achieve...

Design Sensitivity Analysis and Optimization of Electromagnetic Systems (Mathematical and Analytical Techniques with Applications to Engineering)

Springer, 2018

This book presents a comprehensive introduction to design sensitivity analysis theory as applied to electromagnetic systems. It treats the subject in a unified manner, providing numerical methods and design examples. The specific focus is on continuum design sensitivity analysis, which offers significant advantages over discrete...

Chaos: An Introduction for Applied Mathematicians

Springer, 2020

This is a textbook on chaos and nonlinear dynamics, written by applied mathematicians for applied mathematicians. It aims to tread a middle ground between the mathematician's rigour and the physicist’s pragmatism.

While the subject matter is now classical and can be found in many other books, what distinguishes this book...

Mathematical Modelling, Optimization, Analytic and Numerical Solutions (Industrial and Applied Mathematics)

Springer, 2020

This book discusses a variety of topics related to industrial and applied mathematics, focusing on wavelet theory, sampling theorems, inverse problems and their applications, partial differential equations as a model of real-world problems, computational linguistics, mathematical models and methods for meteorology, earth systems,...

Automatic Quantum Computer Programming: A Genetic Programming Approach

Springer, 2006

This is a book about the frontiers of computer science that have recently
been opened by work in quantum mechanics, but it is also a book
about the use of recently developed automatic programming technologies
to explore those frontiers. The automatic programming technologies
themselves issue from another interdisciplinary...

A Practical Guide to Data Structures and Algorithms using Java

CRC Press, 2007

Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises. A fresh...

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