Название: Spring in Action, 6th Edition
Автор: Craig Walls
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 520
Размер: 28 Mb
Язык: English

A new edition of the classic bestseller! Spring in Action, 6th Edition covers all of the new features of Spring 5.3 and Spring Boot 2.4 along with examples of reactive programming, Spring Security for REST Services, and bringing reactivity to your databases. You'll also find the latest Spring best practices, including Spring Boot for application setup and configuration.

Название: Trunk-Based Development And Branch By Abstraction
Автор: Paul Hammant
Издательство: Leanpub
Год: 2020-08-05
Страниц: 367
Язык: английский
Формат: pdf (true), epub
Размер: 25.0 MB

Trunk-based development and branch by abstraction super reference. All the aspects of this industry leading branching model covered. An all you need to know reference book about trunk-based development, Branch by abstraction and related software development practices. Many diagrams throughout, and a sections on working out how your company can get from where you are to trunk-based development, CI, CD and all that comes with it. Trunk-Based Development is a strategy for controlling software development in which developers collaborate on code in a single shared branch called ‘trunk’. Its aim is to overcome the perennial problem where multiple concurrent changes to large scale software programs may temporarily invalidate the whole. All commits are written back to this trunk, and developers must resist any pressure to create other long-lived development branches by employing a number of documented techniques. Therefore, every commit still produces a production-ready build. There is only one branch available to the developers for their collaboration, the ‘trunk’.

Название: Building and Developing Apps & Bots for Microsoft Teams: A guide for developers and normal people alike
Автор: Tom Morgan
Издательство: Leanpub
Год: 2022-01-21
Страниц: 90
Язык: английский
Формат: pdf (true), epub
Размер: 16.0 MB

This book contains everything I know about Microsoft Teams applications: Why you should build them, What to build, How to get started, No-code, Low-code and Pro-code solutions to meet all abilities. Design guidance, Testing, Publishing - this book is everything you need to successfully design, build and publish your first Microsoft Teams app. The Microsoft Teams Development landscape is evolving at pace and over time restrictions are lifted and new ways of extending Teams open up. The only way to make a book about Teams Development relevant is to use a platform that supports regular updating. This book is written and updated regularly over time, in an open way based on new announcements and your feedback.

Название: Самоучитель программирования на VBA в MS Office
Автор: Хорев В.Д.
Издательство: К.: Юниор
Год: 2001
Cтраниц: 320
Формат: pdf
Размер: 20 мб
Язык: русский

Книга адресована широкому кругу пользователей Microsoft Office, версий 98, 2000 и XP, желающих автоматизировать свою работу при помощи Visual Basic for Application (VBA) и эффективных приемов работы в Microsoft Office. Данная книга является практическим руководством для пользователей любой квалификации, желающих самостоятельно научиться программировать на VBA.

Название: Applied Edge AI: Concepts, Platforms, and Industry Use Cases
Автор: Pethuru Raj Chelliah, G. Nagarajan, R.I. Minu
Издательство: CRC Press, Auerbach Publications
Год: 2022
Страниц: 329
Язык: английский
Формат: pdf (true)
Размер: 20.8 MB

The strategically sound combination of edge computing and Artificial Intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance　processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations.

Название: Soft Computing for Data Analytics, Classification Model, and Control
Автор: Deepak Gupta, Aditya Khamparia, Ashish Khanna
Издательство: Springer
Год: 2022
Страниц: 165
Язык: английский
Формат: pdf (true), epub
Размер: 23.7 MB

This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control.

Название: Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence
Автор: George K. Thiruvathukal, Yung-Hsiang Lu
Издательство: CRC Press
Год: 2022
Страниц: 436
Язык: английский
Формат: pdf (true)
Размер: 22.3 MB

Deep Neural Networks (DNNs) are greatly successful in performing many different computer vision tasks. However, the state-of-the-art DNNs are too energy, computation, and memory-intensive to be deployed on most computing devices and embedded systems. DNNs usually require server-grade CPUs and GPUs. To make computer vision more ubiquitous, recent research has focused on making DNNs more efficient. These techniques make DNNs smaller and faster through various refinements and thus are enabling computer vision on battery-powered mobile devices. Through this article, we survey the recent progress in low-power Deep Learning to discuss and analyze the advantages, limitations, and potential improvements to the different techniques. We particularly focus on the software-based techniques for low-power DNN inference.

Название: The Statistical Physics of Data Assimilation and Machine Learning
Автор: Henry D. I. Abarbanel
Издательство: Cambridge University Press
Год: 2022
Страниц: 207
Язык: английский
Формат: pdf (true)
Размер: 138.8 MB

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, Data Science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from Machine Learning (ML) and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and Machine Learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Название: Hands-on Supervised Learning with Python: Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms
Автор: Gnana Lakshmi T C, Madeleine Shang
Издательство: BPB Publications
Год: 2021
Формат: True ePUB, PDF
Страниц: 474
Размер: 13,7 Mb
Язык: English

You will learn about the fundamentals of Machine Learning and Python programming post, which you will be introduced to predictive modelling and the different methodologies in predictive modelling. You will be introduced to Supervised Learning algorithms and Unsupervised Learning algorithms and the difference between them.

Название: Neural Network for Beginners: Build Deep Neural Networks and Develop Strong Fundamentals using Python’s NumPy and Matplotlib
Автор: Sebastian Klaas
Издательство: BPB Publications
Год: 2022
Формат: True ePUB
Страниц: 376
Размер: 10 Mb
Язык: English

Deep learning helps you solve issues related to data problems as it has a vast array of mathematical algorithms and has capacity to detect patterns.