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  • Добавил: literator
  • Дата: 17-03-2021, 19:33
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Knowledge Booster Series Computer ScienceНазвание: Knowledge Booster Series Computer Science
Автор: N.P. Sharma
Издательство: Bookers Imprints
Год: 2021
Страниц: 361
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

This book tells its readers; what is Computer Science? Present age is the age of Computer and Information Technology. In fact, Computers are part and parcel of our day to day life. The discipline, under which, we study about Computers, is termed as Computer Science, which is one stream that spans over theory and practice. It requires thinking, both in abstract terms and in concrete terms. The practical side of computing can be seen everywhere. Nowadays, practically everyone is a computer user, and many people are even computer programmers. Getting computers to do what you want them to, requires intensive hands-on experience. But, computer science can be seen at a higher level, as a science for problem solving.
  • Добавил: TRex
  • Дата: 17-03-2021, 15:59
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Название: Паттерны проектирования для C# и платформы .NET Core
Автор: : Арораа Гаурав, Чилберто Джеффри
Издательство: Питер
Год: 2021
Формат: PDF
Страниц: 352
Размер: 12,2 Mb
Язык: Русский

Паттерны проектирования – удобный прием программирования для решения рутинных задач разработки ПО. Грамотное использование паттернов позволяет добиться соответствия любым требованиям и снизить расходы. В этой книге описаны эффективные способы применения паттернов проектирования с учетом специфики языка C# и платформы .NET Core. Кроме знакомых паттернов проектирования из книги «Банды четырех» вы изучите основы объектно-ориентированного программирования и принципов SOLID. Затем узнаете о функциональных, реактивных и конкурентных паттернах, с помощью которых будете работать с потоками и корутинами. Заключительная часть содержит паттерны для работы с микросервисными, бессерверными и облачно-ориентированными приложениями. Вы также узнаете, как сделать выбор архитектуры, например микросервисной или MVC.
  • Добавил: literator
  • Дата: 17-03-2021, 14:41
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The AI Marketing Canvas: A Five-Stage Road Map to Implementing Artificial Intelligence in MarketingНазвание: The AI Marketing Canvas: A Five-Stage Road Map to Implementing Artificial Intelligence in Marketing
Автор: Raj Venkatesan, Jim Lecinski
Издательство: Stanford Business Books
Год: 2021
Страниц: 269
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success―regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about Artificial Intelligence and Machine Learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit?
  • Добавил: buratino
  • Дата: 17-03-2021, 11:25
  • Комментариев: 0
Название: Embedded Microprocessor System Design using FPGAs
Автор: Uwe Meyer-Baese
Издательство: Springer
Год: 2021
Формат: True PDF
Страниц: 518
Размер: 14.8 Mb
Язык: English

This textbook for courses in Embedded Systems introduces students to necessary concepts, through a hands-on approach. It gives a great introduction to FPGA-based microprocessor system design using state-of-the-art boards, tools, and microprocessors from Altera/Intel® and Xilinx®.
  • Добавил: Natali26
  • Дата: 17-03-2021, 08:41
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Название: 5 вечеров с микрокалькулятором
Автор: Данилов И.Д., Славин Г.В.
Издательство: Финансы и статистика
Год: 1988
Формат: PDF
Страниц: 109
Размер: 30,08 Мб
Язык: русский

В увлекательной форме на примере семьи показывается, как программируемый калькулятор может быть использован для решения бытовых, технических, научных задач и для развлечения. Задача прослеживает от ее постановки до составления программы и счета по программе.

  • Добавил: buratino
  • Дата: 17-03-2021, 07:58
  • Комментариев: 0
Название: PowerShell Pocket Reference, 3rd Edition (Early Release)
Автор: Lee Holmes
Издательство: O’Reilly Media
Год: 2021-03-16
Формат: epub/pdf(conv.)
Размер: 15 Mb
Язык: English

Written by Microsoft PowerShell team member Lee Holmes, and excerpted from his "PowerShell Cookbook", this pocket reference offers up-to-date coverage of PowerShell's latest release. You'll find information on .NET classes and legacy management tools that you need to manage your system, along with chapters on how to write scripts, manage errors, format output, and much more. Applicable whether you work on the client or server version of Windows or use PowerShell on another system.
  • Добавил: literator
  • Дата: 17-03-2021, 01:21
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Windows 10 for the Internet of Things: Controlling Internet-Connected Devices from Raspberry Pi, 2nd EditionНазвание: Windows 10 for the Internet of Things: Controlling Internet-Connected Devices from Raspberry Pi, 2nd Edition
Автор: Charles Bell
Издательство: Apress
Год: 2021
Страниц: 684
Язык: английский
Формат: pdf (true), epub
Размер: 82.2 MB

Manage and control Internet-connected devices from Windows and Raspberry Pi. Master the Windows 10 IoT Core application programming interface and feature set to develop Internet of Things applications on the Raspberry Pi using your Windows and .NET programming skills. New in this edition is coverage of enterprise-level tools and features in the Windows 10 IoT Enterprise server operating system, allowing you to manage IoT solutions having large numbers of devices and to deploy applications to enterprise-grade hardware. Readers learn to develop in C#, C++, and Visual Basic using Visual Studio, for deployment on devices such as the Raspberry Pi.
  • Добавил: literator
  • Дата: 17-03-2021, 01:04
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Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using PythonНазвание: Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using Python
Автор: AI Publishing
Издательство: AI Publishing
Год: 2020
Страниц: 329
Язык: английский
Формат: pdf (true), epub
Размер: 18.3 MB

A beginner-friendly crash course to statistics utilizing Python with an eye to preparing students for further study in Machine Learning. Data and statistics are the core subjects of Machine Learning (ML). The reality is that the average programmer may be tempted to view statistics with disinterest. But if you want to exploit the incredible power of ML, you need a thorough understanding of statistics. The reason is that a machine learning professional develops intelligent and fast algorithms that learn from data. This Statistics Crash Course for Beginners presents you with an easy way of learning statistics fast.
  • Добавил: literator
  • Дата: 16-03-2021, 20:58
  • Комментариев: 0
MATLAB Statistics and Machine Learning Toolbox User’s Guide (R2021a)Название: MATLAB Statistics and Machine Learning Toolbox User’s Guide (R2021a)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: 2021
Страниц: 9326
Язык: английский
Формат: pdf (true)
Размер: 44.5 MB

Statistics and Machine Learning Toolbox provides functions and apps to describe, analyze, and model data. You can use descriptive statistics, visualizations, and clustering for exploratory data analysis, fit probability distributions to data, generate random numbers for Monte Carlo simulations, and perform hypothesis tests. Regression and classification algorithms let you draw inferences from data and build predictive models either interactively, using the Classification and Regression Learner apps, or programmatically, using AutoML.
  • Добавил: literator
  • Дата: 16-03-2021, 20:34
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MATLAB Deep Learning Toolbox User's Guide (R2021a)Название: MATLAB Deep Learning Toolbox User's Guide (R2021a)
Автор: Beale M.H., Hagan M.T., Demuth H.B.
Издательство: The MathWorks, Inc.
Год: 2021
Страниц: 3012
Язык: английский
Формат: pdf (true)
Размер: 75.7 MB

Deep Learning (DL) is a branch of Machine Learning (ML) that teaches computers to do what comes naturally to humans: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. Deep Learning is especially suited for image recognition, which is important for solving problems such as facial recognition, motion detection, and many advanced driver assistance technologies such as autonomous driving, lane detection, pedestrian detection, and autonomous parking.