Название: Alteryx Designer: The Definitive Guide (Seventh Early Release)
Автор: Joshua Burkhow
Издательство: O’Reilly Media, Inc.
Год: 2022-11-09
Страниц: 362
Язык: английский
Формат: epub (true), mobi
Размер: 25.9 MB

Analytics projects are frequently long-drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks. Alteryx Designer is a windows software application that gives you an intuitive, fun and easy to use drag-and-drop user interface in order to create repeatable workflow processes for analyzing, blending data, and performing advanced analytics (such as predictive, spatial, and prescriptive). You can drag “tools” from a “tool palette” onto a “canvas”, connect those tools to each other in a process flow that results in one of 3 results: A workflow, an analytic app, or a macro. You can also use these processes you create to quickly and automatically produce results that can be easily shared with others.

Название: Human-Centered AI
Автор: Ben Shneiderman
Издательство: Oxford University Press
Год: 2022
Страниц: 401
Язык: английский
Формат: pdf (true), epub
Размер: 121.9 MB

The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning.

Название: Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications
Автор: Lin Xiao, Lei Jia
Издательство: Wiley-IEEE
Год: 2023
Страниц: 435
Язык: английский
Формат: pdf (true), epub
Размер: 46.9 MB

Zeroing Neural Networks Describes the theoretical and practical aspects of finite-time ZNN methods for solving an array of computational problems. Zeroing Neural Networks (ZNN) have become essential tools for solving discretized sensor-driven time-varying matrix problems in engineering, control theory, and on-chip applications for robots. Building on the original ZNN model, finite-time zeroing neural networks (FTZNN) enable efficient, accurate, and predictive real-time computations. Setting up discretized FTZNN algorithms for different time-varying matrix problems requires distinct steps. Zeroing Neural Networks provides in-depth information on the finite-time convergence of ZNN models in solving computational problems. Divided into eight parts, this comprehensive resource covers modeling methods, theoretical analysis, computer simulations, nonlinear activation functions, and more.

Название: Artificial Intelligence for Data Science in Theory and Practice
Автор: Mohamed Alloghani, Christopher Thron, Saad Subair
Издательство: Springer
Год: 2022
Страниц: 258
Язык: английский
Формат: pdf (true), epub
Размер: 30.4 MB

This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of Artificial Intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in Computer Science, Artificial Intelligence, Machine Learning and Data Sciences. The field of Data Science can be broadly construed as extracting value from data. It includes statistics, AI, ML, Big Data, and programming.

Название: Deep Learning Technologies for Social Impact
Автор: Shajulin Benedict
Издательство: IOP Publishing
Серия: IOP Series in Next Generation Computing
Год: 2022
Страниц: 267
Язык: английский
Формат: pdf (true), epub
Размер: 33.8 MB

Artificial Intelligence (AI) is gaining traction in areas of social responsibility. From climate change to social polarization to epidemics, humankind has been seeking new solutions to these ever-present problems. Deep Learning (DL) techniques have increased in power in recent years, with algorithms already exhibiting tremendous possibilities in domains such as scientific research, agriculture, smart cities, finance, healthcare, conservation, the environment, industry and more. In particular, the book explores and emphasises techniques involved in DL such as image classification, image enhancement, word analysis, human–machine emotional interfaces and the applications of these techniques for smart cities and societal problems. To extend the theoretical description, the book is enhanced through case studies, including those implemented using Tensorflow2 and relevant IoT-specific sensor/actuator frameworks. Ease of operation—the TensorFlow platform delivers easy integration with several other platforms, such as Google run time collaboration services or locally connected clusters. Users have to select appropriate compute resources using the platform in order to execute deep learning services in the cloud.

Название: jаvascript для начинающих, 6-е издание
Автор: Майк МакГрат
Издательство: Эксмо
Год: 2023
Формат: pdf
Страниц: 232
Размер: 16,4 Мб
Язык: русский

Цветное руководство по jаvascript для начинающих позволит в короткое время освоить этот язык программирования и приступить к созданию красивых и функциональных сайтов. Вся информация представлена схематично и снабжена наглядными примерами, а код и другие элементы, необходимые для обучения, читатели могут скачать и использовать совершенно бесплатно.

Название: "Поколение Python": курс для профессионалов
Автор: Тимур Гуев, Артур Харисов
Издательство: Stepik
Год: 2022
Формат: PDF
Страниц: много
Размер: 57 Mb
Язык: Русский

В курсе рассматриваются даты и время, дополнительные типы коллекций, итераторы, генераторы, декораторы, рекурсия, исключения, регулярные выражения и многое другое.

Название: Getting to Know IntelliJ IDEA : Level up your IntelliJ IDEA knowledge so that you can focus on doing what you do best
Автор: Trisha Gee, Helen Scott
Издательство: Leanpub
Год: 2022-11-06
Страниц: 380
Язык: английский
Формат: pdf (true)
Размер: 129.4 MB

If we treat our IDE as a text editor, we are doing ourselves a disservice. Using a combination of tutorials and a questions-and-answers approach, Getting to Know IntelliJ IDEA will help you find ways to use IntelliJ IDEA that enable you to work comfortably and productively as a professional developer. This book is for developers using IntelliJ IDEA, whether you’re just beginning or have been using it for a while. If you’re just beginning with IntelliJ IDEA, we’ll take you on the journey of learning the tool quickly and efficiently to help you be as productive as possible. If you’ve been using IntelliJ IDEA a while, then we’ll help you expand your horizons and show you some cool tricks which will improve your productivity. At the top level, this book is primarily aimed at Java developers who use, or want to use, IntelliJ IDEA, but anyone who uses an IntelliJ Platform IDE (for example, Webstorm, PyCharm, Rider) should pick up plenty of tips.

Название: Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances
Автор: Yanan Sun, Gary G. Yen, Mengjie Zhang
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 335
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks (DNN). The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields.

Название: Explainable Edge AI: A Futuristic Computing Perspective
Автор: Aboul Ella Hassanien, Deepak Gupta, Anuj Kumar Singh
Издательство: Springer
Год: 2023
Страниц: 187
Язык: английский
Формат: pdf (true), epub
Размер: 19.4 MB

This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. The proposed protocol is implemented using TensorFlow and Keras libraries in Python language.