Название: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
Автор: Jozsef Dombi, Orsolya Csiszar
Издательство: Springer
Год: 2021
Страниц: 186
Язык: английский
Формат: pdf (true), epub
Размер: 28.5 MB

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable – and even, in many cases, more efficient. Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and Deep Learning (DL) to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.

Название: Ripple-Down Rules: The Alternative to Machine Learning
Автор: Paul Compton, Byeong Ho Kang
Издательство: CRC Press
Год: 2021
Страниц: 196
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB

Machine Learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available. This book is about Ripple-Down Rules (RDR), an alternative manual technique for rapidly building AI systems. With a human in the loop, RDR is much better able to deal with the limitations of the data. Ripple-Down Rules: The Alternative to Machine Learning starts by reviewing the problems with data quality and the problems with conventional approaches to incorporating expert human knowledge into AI systems.

Название: Recommender Systems: Algorithms and Applications
Автор: P. Pavan Kumar, S. Vairachilai
Издательство: CRC Press
Год: 2021
Страниц: 249
Язык: английский
Формат: pdf (true)
Размер: 17.6 MB

Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture, healthcare, manufacturing, and retail. Recommender Systems: Algorithms and Applications dives into the theoretical underpinnings of these systems and looks at how this theory is applied and implemented in actual systems.

Название: Язык программирования С++. Полное руководство
Автор: Липпман С., Лажойе Ж.
Издательство: Профобразование
Год: 2019
Cтраниц: 1103
Формат: pdf
Размер: 104 мб
Язык: русский

Книга известного эксперта по языку С++ Стенли Липпмана написана в соавторстве с Жози Лажойе, принимавшей активное участие в разработке международного стандарта С++. Настоящее издание является исчерпывающим руководством для изучения современной версии языка С++. Авторы рассматривают как основы языка (структуру программы на С++, использование команд препроцессора и заголовочных файлов), так и более сложные конструкции (исключения, классы, шаблоны функций и классов, перегрузку операторов, множественное наследование и т. п.).

Название: Architecting Data-Intensive SaaS Applications: Building Scalable Software with Snowflake
Автор: William Waddington, Kevin McGinley
Издательство: O’Reilly Media, Inc.
Год: 2021
Страниц: 80
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Through explosive growth in the past decade, data now drives significant portions of our lives, from crowdsourced restaurant recommendations to AI systems identifying effective medical treatments. Software developers have unprecedented opportunity to build data applications that generate value from massive datasets across use cases such as customer 360, application health and security analytics, the IoT, machine learning, and embedded analytics. Data applications are customer- or employee-facing applications that process large volumes of complex and fast-changing data, embedding analytics capabilities that allow users to harness their data directly within the application.

Название: Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools, 2nd Edition (Third Early Release)
Автор: Jeroen Janssens
Издательство: O’Reilly Media, Inc.
Год: 2021-04-30
Страниц: 166
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 80 tools--useful whether you work with Windows, macOS, or Linux.

Название: Algorithmic Thinking for Adventurous Minds: Quest for Fundamental Algorithms with Visualization and Python
Автор: Xu, Claire; Xu, Raymond; Xu, William
Издательство: Xu, Claire; Xu, Raymond; Xu, William
Год: 2021
Формат: epub
Страниц: 254
Размер: 61,0 МБ
Язык: English

This book is about how to work smart to avoid unnecessary work. Algorithmic thinking is about identifying the most efficient steps to solve a seemingly complex problem without detouring. It is a necessary skill for future jobs. Through a magical lens, CalliLens, you will observe abstraction and recognize patterns in the Land of Apple Pi. The authors, along with Python, transform into the main characters, the BestFour. They will accompany you through each challenge, naturally come up with the solution steps, and master algorithmic thinking without you forcefully knowing it.

Название: Easy Python Programming: A Step by Step Crash Course Guide to Learn Python Programming with Hands-On Project
Автор: Mathew Thompson
Издательство: Amazon.com Services LLC
Год: 2021
Страниц: 188
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

This book's aim is to provide an in-depth but basic understanding of the Python programming language. The book is intended for both beginning and advanced readers. The book assists newcomers in getting their feet wet with realistic Python. Expert users, on the other hand, may use it as a guide to various basic and advanced Python concepts. All of the main Python concepts have been organized into chapters. A chapter includes theoretical details about specific Python principles as well as their implementation in Python script form. To get the most out of this book, readers should first fully understand the definition before practicing the code.

Название: Swift Programming: The Ultimate Beginner’s Guide to Learn swift Programming Step by Step, 3nd Edition
Автор: Alexander Aronowitz
Издательство: NLN lnc
Год: 2021
Страниц: 364
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

You’ll begin with Swift programming basics - including guidelines for making your code "Swifty" - and learn how to work with Xcode and its built-in Interface Builder. Then you’ll dive step-by-step into building and customizing a basic app for taking, editing, and deleting selfies. You’ll also tune and test the app for performance and manage the app’s presence in the App Store. Swift is a general-purpose, multi-paradigm, object-oriented, functional, imperative and block structured language. It is the result of the latest research on programming languages and is built using a modern approach to safety, software design patterns by Apple Inc. It is the brand new programming language for iOS application, macOS application, watchOS application, tvOS application.

Название: Modern Data Protection: Ensuring Recoverability of All Modern Workloads
Автор: W. Curtis Preston
Издательство: O’Reilly Media
Год: 2021-04-29
Формат: epub/pdf(conv.)
Страниц: 370
Размер: 10.9 Mb
Язык: English

Give your organization the data protection it deserves, without the uncertainty and cost overruns experienced by your predecessors or other companies. System and network administrators today have their work cut out for them to protect physical and virtual machines in the data center and the cloud, mobile devices in laptops and tablets, SaaS services like Microsoft 365, Google Workspace, and Salesforce, and any persistent data created by Kubernetes and container workloads.