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  • Добавил: Igor1977
  • Дата: 17-09-2022, 16:04
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Название: Microsoft Visual Basic 2017 for Windows, Web, and Database Applications: Comprehensive
Автор: Hoisington C.
Издательство: Cengage Learning
Год: 2017
Формат: pdf
Страниц: 771
Размер: 79 mb
Язык: Английский

Introduction to Visual Basic 2017 Programming.
Program and Graphical User Interface Design.
Program Design and Coding.
Variables and Arithmetic Operations.
Decision Structures.
Loop Structures.
Using Procedures and Exception Handling.
Using Arrays and File Handling.
Creating Web Applications.
Incorporating Databases with ADO.NET.
Multiple Classes and Inheritance.
  • Добавил: literator
  • Дата: 17-09-2022, 12:42
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Go Cookbook: Expert Solutions for Commonly Needed Go Tasks (Third Early Release)Название: Go Cookbook: Expert Solutions for Commonly Needed Go Tasks (Third Early Release)
Автор: Sau Sheong Chang
Издательство: O’Reilly Media, Inc.
Год: 2022-09-16
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

Go is an increasingly popular language for programming everything from web applications to distributed network services. This practical guide provides recipes to help you unravel common problems and perform useful tasks when working with Go. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. Programmers new to Go can quickly ramp up their knowledge while accomplishing useful tasks, and experienced Go developers can save time by cutting and pasting proven code directly into their applications.
  • Добавил: literator
  • Дата: 17-09-2022, 11:27
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Engineering Intelligent Systems: Systems Engineering and Design with Artificial Intelligence, Visual ModelingНазвание: Engineering Intelligent Systems: Systems Engineering and Design with Artificial Intelligence, Visual Modeling
Автор: Barclay R. Brown
Издательство: Wiley
Год: 2023
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Engineering Intelligent Systems Exploring the three key disciplines of intelligent systems. As Artificial Intelligence (AI) and Machine Learning (ML) technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. By applying model-based systems engineering to AI, however, engineers can design complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI.
  • Добавил: literator
  • Дата: 17-09-2022, 11:16
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Node.js: The Comprehensive Guide to Server-Side JavaScript ProgrammingНазвание: Node.js: The Comprehensive Guide to Server-Side jаvascript Programming
Автор: Sebastian Springer
Издательство: Rheinwerk Computing
Год: 2022
Страниц: 834
Язык: английский
Формат: epub (true)
Размер: 10.3 MB

If you’re developing server-side jаvascript applications, you need Node.js! Start with the basics of the Node.js environment: installation, application structure, and modules. Then follow detailed code examples to learn about web development using frameworks like Express and Nest. Learn about different approaches to asynchronous programming, including RxJS and data streams. Details on peripheral topics such as testing, security, performance, and more, make this your all-in-one daily reference for Node.js!
  • Добавил: TRex
  • Дата: 16-09-2022, 19:48
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Название: Feature Engineering Bookcamp
Автор: Sinan Ozdemir
Издательство: Manning Publications
Год: 2022
Формат: ePUB, MOBI
Страниц: 358
Размер: 22 Mb
Язык: English

Feature Engineering Bookcamp guides you through a collection of projects that give you hands-on practice with core feature engineering techniques. You’ll work with feature engineering practices that speed up the time it takes to process data and deliver real improvements in your model’s performance. This instantly-useful book skips the abstract mathematical theory and minutely-detailed formulas; instead you’ll learn through interesting code-driven case studies, including tweet classification, COVID detection, recidivism prediction, stock price movement detection, and more
  • Добавил: literator
  • Дата: 16-09-2022, 15:59
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IoT System Testing An IoT Journey from Devices to Analytics and the EdgeНазвание: IoT System Testing: An IoT Journey from Devices to Analytics and the Edge
Автор: Jon Duncan Hagar
Издательство: Apress
Год: 2022
Страниц: 323
Язык: английский
Формат: pdf (true), epub
Размер: 27.2 MB

To succeed, teams must assure the quality of IoT systems. The world of technology continually moves from one hot area to another; this book considers the next explosion—of IoT—from a quality testing viewpoint. You'll first gain an introduction to the Internet of Things (IoT), V&V, and testing. Next, you'll be walked through IoT test planning and strategy over the full life cycle, including the impact of data analytics and AI. You will then delve deeper into IoT security testing and various test techniques, patterns, and more. This is followed by a detailed study of IoT software test labs, architecture, environments and AI.
  • Добавил: literator
  • Дата: 16-09-2022, 15:05
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AI Time Series Control System ModellingНазвание: AI Time Series Control System Modelling
Автор: Chuzo Ninagawa
Издательство: Springer
Год: 2023
Страниц: 243
Язык: английский
Формат: pdf (true), epub
Размер: 44.1 MB

This book describes the practical application of Artificial Intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time series data of physical quantities to be controlled in the field of system control. Since dynamic systems are not stable steady states but changing transient states, the changing transient states depend on the state history before the change. In other words, it is essential to predict the change from the present to the future based on the time history of each variable in the target system, and to manipulate the system to achieve the desired change. In short, time series is the key to the application of AI machine learning to system control. This is the philosophy of this book: "time series data" + "AI machine learning" = "new practical control methods".
  • Добавил: literator
  • Дата: 16-09-2022, 14:07
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FastAPI: Modern Python Web Development (Early Release)Название: FastAPI: Modern Python Web Development (Early Release)
Автор: Bill Lubanovic
Издательство: O’Reilly Media, Inc.
Год: 2022-09-14
Язык: английский
Формат: epub
Размер: 10.1 MB

FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. This book also includes how-to guides that will get you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI. Supplemental material (code examples, exercises, etc.) is available for download at GitHub.
  • Добавил: literator
  • Дата: 16-09-2022, 13:28
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Hybrid Intelligent Systems for Information RetrievalНазвание: Hybrid Intelligent Systems for Information Retrieval
Автор: Anuradha D. Thakare, Shilpa Laddha, and Ambika Pawar
Издательство: CRC Press
Год: 2023
Страниц: 253
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.e., Optimal Information Retrieval Using Evolutionary Approaches, Semantic Search for Web Information Retrieval, and Natural Language Processing for Information Retrieval. This book covers the architectures of modern information systems pertaining to structured and unstructured data retrieval, and there is a detailed discussion on how to develop computational models for retrieval systems. It describes evolutionary approaches for optimal information retrieval and the design of hybrid intelligent information retrieval systems for various applications. The focus is on three key areas: Optimality in Information Retrieval with Evolutionary Algorithms, Semantic Web Information Retrieval, and Natural Language Processing for Information Retrieval. Deep learning methods have proven applicability in information retrieval (IR). Deep learning models eliminate human bias for feature or relevance measure and make it more efficient. Deep learning has a lot of potential to improvise IR. Recurrent neural networks (RNNs) are highly efficient with an internal memory, and it has the most promising algorithms.
  • Добавил: literator
  • Дата: 16-09-2022, 13:12
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Designing Human-Centric AI Experiences: Applied UX Design for Artificial IntelligenceНазвание: Designing Human-Centric AI Experiences: Applied UX Design for Artificial Intelligence
Автор: Akshay Kore
Издательство: Apress
Год: 2022
Страниц: 478
Язык: английский
Формат: pdf (true)
Размер: 13.8 MB

User Experience (UX) design practices are evolving as more and more software products incorporate Machine Learning (ML) components and Artificial Intelligence (AI) algorithms at their core. AI brings a fundamental shift to how we design products. Instead of programming a system to do a specific action, AI teams are responsible for curating outcomes based on algorithms and large amounts of data. AI systems are dynamic, they change over time, and their user experience needs to adapt to this change. The complexity of these systems requires deeper collaborations with various disciplines. The dynamic nature of AI systems calls for a shift in how we think about designing intelligent products and how we work, communicate and collaborate within teams. 'Designing Human-Centric AI Experiences' will explore this problem and address the challenges and opportunities in UX design for AI/ML systems. We look at best practices for designers, managers, and product creators and describe how individuals from non-technical backgrounds can collaborate effectively with AI and Machine learning teams.