Название: Numerical Methods for Ordinary Differential Equations with Programs
Автор: Ashok Kumar Singh, Arvind Kumar Singh
Издательство: Alpha Science
Год: 2018
Страниц: 261
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Differential equations find its applications in all fields of science and engineering because it can describe the modeling of nearly all systems involving rate of change. Due to this fact, it has widespread use in physics, engineering, economics, social science and also in biology. Many systems involving differential equations are so complex, or the systems they describe are so large, that a purely mathematical analysis is not possible and it provides only the existence of the solution, therefore, we have to seek the approximate solution by means of the numerical methods. Hence in these types of complex systems, the computer simulations and numerical approximations are useful.

Название: C++ programming: The Ultimate Beginner's Guide to Learn C++ Step by Step - 2020
Автор: John Bach
Издательство: Independently published
Год: 2020
Язык: английский
Формат: pdf (conv), rtf, epub
Размер: 10.1 MB

C++ is a statically typed, compiled, general-purpose, case-sensitive, free-form programming language that supports procedural, object-oriented, and generic programming. C++ is regarded as a middle-level language, as it comprises a combination of both high-level and low-level language features. C++ was developed by Bjarne Stroustrup starting in 1979 at Bell Labs in Murray Hill, New Jersey, as an enhancement to the C language and originally named C with Classes but later it was renamed C++ in 1983. C++ is a superset of C, and that virtually any legal C program is a legal C++ program.

Название: Data Science Programming All-In-One For Dummies
Автор: John Paul Mueller, Luca Massaron
Издательство: For Dummies
Год: 2020
Формат: EPUB
Страниц: 608
Размер: 11 Mb
Язык: English

Your logical, linear guide to the fundamentals of data science programming
Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models.

Название: Moving Hadoop to the Cloud
Автор: Bill Havanki
Издательство: O'Reilly
Год: 2017
Страниц: 338
Формат: PDF, EPUB, AZW3
Размер: 13 Mb
Язык: English

Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there’s a lot more to deploying Hadoop to the public cloud than simply renting machines.

Название: Stock Exchange for python programmers
Автор: Paulo Leonardo Vieira Rodrigues
Издательство: Amazon.com Services LLC
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 108
Размер: 10.7 Mb
Язык: English

Python, due to its versatility and its consolidated community, has been used for some years in the field of data science and machine learning. This guide presents some statistics, creation of indicators, such as the crossing of moving averages, HiLo, MACD, Bollinger Bands, On Balance Volume - OBV, Relative Strength index - RSI, Average Directional Index - ADX, EMA 9 Strategy, etc. It is still shown how it is possible to create a backtesting system from scratch to test our indicators and strategies.

Название: MACHINE LEARNING FOR BEGINNERS: A Comprehensive Guide To Algorithms For Machine Learning And Data Science
Автор: William J. Ford
Издательство: Amazon.com Services LLC
Год: 2020
Формат: epub/mobi/pdf(conv.)
Размер: 10.9 Mb
Язык: English

Here’s just a tiny fraction of what you’ll discover in this book:
The history of machine learning
What machine learning can do for your business
The machine learning algorithms...

Название: A Practical Guide to Azure DevOps: Learn by doing - Third Edition
Автор: Milindanath Hewage
Издательство: Independently published
Год: 2020
Страниц: 185
Язык: английский
Формат: pdf
Размер: 10.1 MB

DevOps has become a major topic for developers, testers, project managers and many others involved in building software products. Microsoft has introduced Azure DevOps as their tool for implementing DevOps practices. This book is intended to provide the reader a step-by-step, easy to follow guide to learn how Azure DevOps works in a real world project using detailed samples and visual guidance through screenshots. Therefore, the approach taken in this book is very simple and allows even beginners to follow along and get a good understanding on Azure DevOps.

Название: Essentials of Microservices Architecture: Paradigms, Applications, and Techniques
Автор: Chellammal Surianarayanan, Gopinath Ganapathy, Raj Pethuru
Издательство: Taylor & Francis / CRC Press
Год: 2019
Страниц: 315
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Microservices architecture (MSA) is increasingly popular with software architects and engineers as it accelerates software solution design, development, and deployment in a risk-free manner. Placing a software system into a production environment is elegantly simplified and sped up with the use of MSA development platforms, runtime environments, acceleration engines, design patterns, integrated frameworks, and related tools. The MSA ecosystem is expanding with third-party products that automate as many tasks as possible. MSA is being positioned as the enterprise-grade and agile-application design method. This book covers in-depth the features and facilities that make up the MSA ecosystem.

Название: Image Processing and Communications. Techniques, Algorithms and Applications
Автор: Michal Choras
Издательство: Springer
Год: 2020
Формат: pdf
Страниц: 337
Размер: 55 Мб
Язык: английский

This book presents a selection of high-quality peer-reviewed research papers on various aspects of computer science and networks. It not only discusses emerging applications of currently available solutions, but also outlines potential future techniques and lines of research in pattern recognition, image processing and communications. Given its scope, the book will be of considerable interest to researchers, students and practitioners alike.

Название: Applied Multiple Imputation: Advantages, Pitfalls, New Developments and Applications in R (Statistics for Social and Behavioral Sciences)
Автор: Kristian Kleinke, Jost Reinecke, Daniel Salfran, Martin Spiess
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 292
Размер: 11 Mb
Язык: English

This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important topic for practitioners. It also presents current research and new, practically relevant developments in the field, and demonstrates the use of recent multiple imputation techniques designed for situations where distributional assumptions of the classical multiple imputation solutions are violated.