Название: Теория и практика структурного программирования
Автор: Ричард Лингер, Хэрлан Миллс, Бернард Уитт
Издательство: Мир
Год: 1982
Формат: pdf
Страниц: 408
Размер: 125 Mb
Язык: Русский

В книге американских авторов рассмотрены теоретические и практические методы структурного программирования, позволяющие программисту получать сложные программы без ошибок, а также быстро выявлять ошибки в готовых программах, полученных от других пользователей.

Название: Практикум по программированию на языке ПЛ/1
Автор: Шелест В.Д.
Издательство: Ленинградский университет
Год: 1986
Формат: pdf
Страниц: 225
Размер: 13,3 Mb
Язык: Русский

Предлагаемое учебное пособие написано как практическое руководство по проектированию, конструированию и кодированию программ с использованием подмножества ПЛ/1 ОС ЕС (F-компилятора, оптимизирующего компилятора). Излагаемый материал иллюстрируется практическими примерами и сопровождается многочисленными рекомендациями.

Название: Java Exercise 50 Questions for Beginners
Автор: MilkTea
Издательство: Amazon.com Services LLC
Год: 2020
Формат: AZW3, PDF
Страниц: 105
Размер: 28,8 Mb
Язык: English

This book is for Java learners especially beginners to intermediate people. Java version is 8. After learning basic concepts and grammar, the next step is to read and understand code. Code of this book includes various methods of classes mentioned above. There are 50 questions. At the beginning, questions are easy. However, they get more difficult gradually to the end.

Название: Learn Python: Step-By-Step Guide to Master Python Quickly With Clear Exercises and 3 Hands-On Projects
Автор: Joey Rosso
Издательство: Amazon.com Services LLC
Год: 2020
Формат: PDF, EPUB, AZW3
Страниц: 136
Размер: 10 Mb
Язык: English

Are you interested in learning the basics of Python?
Have you tried to learn programming in the past, but never found the right course?
Or perhaps you know other programming languages but are interested in mastering the Python language quickly?
Do you think that you retain information better by doing than by simply watching others do?
If you answered yes to at least one of these questions, THIS IS THE BOOK FOR YOU.

Название: Проектирование интерфейса пользователя средствами Win32 API
Автор: Ганеев Р.М.
Издательство: Горячая линия - Телеком
Год: 2007
ISBN: 5-93517-279-8
Формат: pdf
Страниц: 338
Размер: 12,6 Mb
Язык: Русский

Книга посвящена основам проектирования пользовательского интерфейса средствами Win32 API.
Написана доступным языком, насыщена примерами программной реализации, все разделы сопровождаются вопросами контроля полученных знаний и вариантами упражнений. Она поможет читателю овладеть методикой проектирования эффективных приложений для Windows.

Название: Machine Learning for Asset Managers
Автор: Marcos M. Lopez de Prado
Издательство: Cambridge University Press
Год: 2020
Страниц: 152
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce Machine Learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods.

Название: Python WebApp: Learn how to serve a Machine Learning Model predicting car prices
Автор: Nicolas Maignan
Издательство: Amazon.com Services LLC
Год: 2020
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

When you'll go through this book, you will learn how to turn an idea into a web application serving a Machine Learning model. The chosen use case is Second-hand Car Pricing for which we'll go from having no data to deploying a small web application serving a Machine Learning Regressor trained to predict car prices. We'll do this using mainly Python (Quart, LGBM, Pandas, Scikit-learn), a little bit of HTLM, CSS, JS, and Docker (Docker-compose).

Название: Beginning Ring Programming: From Novice to Professional
Автор: Mansour Ayouni
Издательство: Apress
Год: 2020
Формат: true pdf/epub
Страниц: 678
Размер: 46.8 Mb
Язык: English

Gain a gentle introduction to the world of Ring programming with clarity as a first concern using a lot of practical examples. The first part lays the foundations of the language and its basic features (data types, control structures, functions, and classes). The unique way to rigorously structure Ring programs is also explained.

Название: Machine Vision Inspection Systems Volume 1: Image Processing, Concepts, Methodologies, and Applications
Автор: Muthukumaran Malarvel (Editor), Soumya Ranjan Nayak (Editor), Surya Narayan Panda (Editor)
Издательство: Wiley
Год: 2020
Формат: True PDF
Страниц: 242
Размер: 26.9 Mb
Язык: English

This edited book brings together leading researchers, academic scientists and research scholars to put forward and share their experiences and research results on all aspects of an inspection system for detection analysis for various machine vision applications. It also provides a premier interdisciplinary platform to present and discuss the most recent innovations, trends, methodology, applications, and concerns as well as practical challenges encountered and solutions adopted in the inspection system in terms of image processing and analytics of machine vision for real and industrial application. Machine vision inspection systems (MVIS) utilized all industrial and non-industrial applications where the execution of their utilities based on the acquisition and processing of images.

Название: Neural Machine Translation
Автор: Philipp Koehn
Издательство: Cambridge University Press
Год: 2020
Формат: true pdf/rtf
Страниц: 408
Размер: 10 Mb
Язык: English

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization.