Название: Getting the Most out of Node.js Frameworks: The Essential Tools and Libraries
Автор: Sufyan bin Uzayr
Издательство: CRC Press
Год: 2022
Страниц: 189
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Gain the knowledge you need to navigate your way confidently through the ever-expanding landscape of modern jаvascript technologies. With over one hundred Node.js frameworks available and the number rising every month, it is becoming increasingly difficult to avoid jаvascript fatigue and keep abreast of the developments that are most useful and relevant to your own projects. In such a saturated environment, the knowledge of exactly which tools will best fit your goals is invaluable. This book will guide you through the quagmire by clearly and comprehensively outlining the most practically useful Node frameworks, libraries and tools, and how they might be employed in your own projects. You will learn about jаvascript frameworks such as Polymer, Webix, Aurelia, Svelte, Meteor, and many, many more.

Название: Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Third Early Release)
Автор: Chip Huyen
Издательство: O’Reilly Media, Inc.
Год: 2022-02-03
Страниц: 339
Язык: английский
Формат: epub
Размер: 13.8 MB

Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be quick to fall apart. In this book, Chip Huyen provides a framework for designing real-world ML systems that are quick to deploy, reliable, scalable, and iterative. These systems have the capacity to learn from new data, improve on past mistakes, and adapt to changing requirements and environments. You'll learn everything from project scoping, data management, model development, deployment, and infrastructure to team structure and business analysis.

Название: Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python (Early Release)
Автор: Mike X Cohen
Издательство: O’Reilly Media, Inc.
Год: 2022-01-28
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.

Название: Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms, 2nd Edition (Third Early Release)
Автор: Nithin Buduma, Nikhil Buduma, Joe Papa
Издательство: O’Reilly Media, Inc.
Год: 2022-02-02
Страниц: 450
Язык: английский
Формат: epub
Размер: 10.2 MB

We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and even generate essays with shockingly coherent prose. But deciphering these breakthroughs often takes a Ph.D. education in machine learning and mathematics.

Название: Heterogeneous Graph Representation Learning and Applications
Автор: Chuan Shi, Xiao Wang, Philip S. Yu
Издательство: Springer
Серия: Artificial Intelligence: Foundations, Theory, and Algorithms
Год: 2022
Страниц: 329
Язык: английский
Формат: pdf (true), epub
Размер: 33.7 MB

Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in homogeneous (and heterogeneous) graph embedding, attributed graph embedding and graph neural networks, few are capable of simultaneously and effectively taking into account heterogeneous structural (graph) information as well as the heterogeneous content information of each node. To the best of our knowledge, it is the first book to summarize the latest developments and present cutting-edge research on heterogeneous graph representation learning. To gain the most from it, readers should have a basic grasp of Computer Science, Data Mining and Machine Learning.

Название: Visual Inference for IoT Systems: A Practical Approach
Автор: Delia Velasco-Montero, Jorge Fernandez-Berni
Издательство: Springer
Год: 2022
Страниц: 171
Язык: английский
Формат: pdf (true), epub
Размер: 34.1 MB

This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements. All the contents revolve around the state-of-the-art computer vision paradigm, i.e., DL. These days, accurate, but computationally heavy, neural networks are employed for a variety of tasks. The strong processing and memory requirements of such networks come into conflict with the limited availability of resources in IoT devices. Meanwhile, a great deal of technological components has been released to support DL deployments. Each of these components claims advantages in terms of performance, system integration, energy consumption, etc. The book provides tools to navigate this complex scenario in an effective manner.

Название: Building Software Platforms : A Guide to SaaS Transition with AWS
Автор: Pablo Bermejo
Издательство: Leanpub
Год: 2021-11-22
Страниц: 251
Язык: английский
Формат: pdf (true), epub
Размер: 22.9 MB

To stay competitive and maintain an edge, software companies and IT organizations must reinvent their way of working and embark on a journey to find solutions that empower them with the right capabilities to build modern software. And deliver it as a service. And do it continuously. Building Software Platforms is a nonsense-free, principles-based guide to help software engineering and architecture leaders like you roll out this new architectural style so that development teams can focus on building and delivering value for the end-users. In this book, the author shares the secrets of internal software platforms and introduces adoption strategies using Wardley maps.

Название: Spring in Action, 6th Edition
Автор: Craig Walls
Издательство: Manning Publications
Год: 2022
Страниц: 520
Язык: английский
Формат: pdf (true)
Размер: 25.4 MB

If you need to learn Spring, look no further than this widely beloved and comprehensive guide! Fully revised for Spring 5.3, and packed with interesting real-world examples to get your hands dirty with Spring. Over the years,Spring in Action has helped tens of thousands of developers get a major productivity boost from Spring. This new edition of the classic bestseller 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.