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Название: Guide for Dummies: from MATLAB to C++ through the MATLAB Coder / Guida per Dummies: da MATLAB a C++ attraverso il MATLAB Coder
Автор: F. Piccinini, S. Belloni
Издательство: Youcanprint
Год: 2021
Страниц: 201
Язык: English, Italian
Формат: pdf, epub
Размер: 10.2 MB

Nowadays, many of the tools and applications used in the biomedical field are developed in MATLAB (The MathWorks, Inc., MA, USA). However, the C++ code is license-free so better suits the policy of code distributed in the form of Open Source. To facilitate the conversion from MATLAB to C++, MATLAB developers have recently created a toolbox called MATLAB Coder containing various functions and tools to facilitate a (semi-) automatic code conversion. In this book, using significant examples of increasing complexity, we show how to quickly and easily exploit the MATLAB Coder to create ".lib" static libraries, ".exe" executables and ".cpp" source code starting from MATLAB ".m" functions. In particular, starting from some case studies based on simple functions able to manage numerical inputs, we have shown how to manage various parameters of the MATLAB Coder toolbox, in order to be able to convert even complex functions based on image processing algorithms. Currently, in the literature there are no many manuals designed to guide step-by-step people interested in using the MATLAB Coder. We therefore hope that this document will be a valid help for developers interested in easily and quickly converting MATLAB code to C++ code.

Название: Programming Basics: Getting Started with Java, C#, and Python
Автор: Robert Ciesla
Издательство: Apress
Год: 2021
Страниц: 172
Язык: английский
Формат: pdf (true), epub
Размер: 10.17 MB

Explore the basics of the three most popular programming languages: C#, Java, and Python and see what it's like to function in today's world from the perspective of a programmer. This book's uses is highly practical approach with numerous code listings aimed at bringing generations together through the intricacies of technology.

Название: Simple and Efficient Programming with C# Skills to Build Applications with Visual Studio and .NET
Автор: Vaskaran Sarcar
Издательство: Apress
Год: 2021
Формат: PDF, ePUB
Страниц: 282
Размер: 10 Mb
Язык: English

Apply skills and approaches to your programming to build a real-world application in C# 9 using the latest editions of Visual Studio, C#, and Microsoft .NET.
Each chapter opens with an introduction and original application written in C# 9 for you to jump into coding. From there, you are guided through an expected output and taught best practices along the way. Author Vaskaran Sarcar emphasizes extending and maintaining the same program and he demonstrates examples for different scenarios to make your program more efficient and effective.

Название: Basic Python for Data Management, Finance, and Marketing
Автор: Art Yudin
Издательство: Apress
Год: 2021
Формат: True PDF, ePUB
Страниц: 324
Размер: 26,4 Mb
Язык: English

Python, the most in-demand skill by employers, can be learned in a matter of months and a working knowledge will help you to advance your career. This book will teach you to crunch numbers, analyze big-data, and switch from spreadsheets to a faster and more efficient programming language. You'll benefit from the numerous real-life examples designed to meet current world challenges and from step-by-step guidance to become a confident Python user.

Название: Introduction to AI Robotics, 2nd edition
Автор: Robin R. Murphy
Издательство: The MIT Press, ‎ Bradford Books
Год: 2019
Страниц: 891
Язык: английский
Формат: True EPUB
Размер: 160.2 MB

A comprehensive survey of Artificial Intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications. This textbook offers a comprehensive survey of Artificial Intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an Artificially Intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities.

Название: Introduction to R for Social Scientists
Автор: Ryan Kennedy, Philip D. Waggoner
Издательство: CRC Press
Год: 2021
Страниц: 209
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology. Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems.

Название: Distributed Systems with Node.js: Building Enterprise-Ready Backend Services
Автор: Thomas Hunter II
Издательство: O'Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 390
Размер: 11,5 Mb
Язык: English

Many companies, from startups to Fortune 500 companies alike, use Node.js to build performant backend services. And engineers love Node.js for its approachable API and familiar syntax. Backed by the world's largest package repository, Node's enterprise foothold is only expected to grow.

Название: Learning Serverless: Design, Develop, and Deploy with Confidence
Автор: Jason Katzer
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 233
Размер: 10 Mb
Язык: English

Whether your company is considering serverless computing or has already made the decision to adopt this model, this practical book is for you. Author Jason Katzer shows early- and mid-career developers what's required to build and ship maintainable and scalable services using this model.

Название: Threat Modeling: A Practical Guide for Development Teams
Автор: Izar Tarandach, Matthew J. Coles
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 245
Размер: 17,2 Mb
Язык: English

Threat modeling is one of the most essential--and most misunderstood--parts of the development lifecycle. Whether you're a security practitioner or a member of a development team, this book will help you gain a better understanding of how you can apply core threat modeling concepts to your practice to protect your systems against threats.

Название: Introduction to Natural Language Processing
Автор: Jacob Eisenstein
Издательство: The MIT Press
Год: 2019
Страниц: 536
Язык: английский
Формат: epub
Размер: 10.1 MB

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on Natural Language Processing (NLP) - methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised Machine Learning (ML). The first section establishes a foundation in Machine Learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation.