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Название: Applications of Computational Intelligence in Multi-Disciplinary Research
Автор: Ahmed A. Elngar, Rajdeep Chowdhury, Valentina Emilia Balas
Издательство: Academic Press/Elsevier
Год: 2022
Страниц: 212
Язык: английский
Формат: pdf (true)
Размер: 15.4 MB

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of Computational Intelligence (CI) to a wide spectrum of research cases. The book covers the main approaches used in Computational Intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. Computational intelligence (CI) is a paradigm of natural environment-inspirited computational methodologies, which provides solutions to strenuous real-life problems where mathematical and traditional modeling are rendered useless.

Название: Python Data Science Handbook, 2nd Edition (Early Release)
Автор: Jake VanderPlas
Издательство: O’Reilly Media
Год: 2022-09-12: Fourth Release
Формат: ePUB
Размер: 10 Mb
Язык: English

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.

Название: Modern Survey Analysis: Using Python for Deeper Insights
Автор: Walter R. Paczkowski
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 365
Размер: 15,6 Mb
Язык: English

This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since surveys are widely used as the primary method to collect data, and ultimately information, on attitudes, interests, and opinions of customers and constituents, these tools are vital for private or public sector policy decisions.

Название: Game Programming with Open 3D Engine
Автор(ы): Oleksandr Lozitskiy
Издательство: Independently published
Год: 2022
Страниц: 349
Формат: PDF
Размер: 36 Мб
Язык: english

Learning how to create games in a new game engine is a difficult task. It is easy to get bogged down in details. This book is written with an idea that the best way to teach an engine is by gradually introducing topics one element at a time, just enough to get you past the task at hand. Then we loop back and introduce deeper systems involved once you have enough context to understand why you need them.

Название: Engineering a Compiler, 3rd Edition
Автор: Linda Torczon, Keith D. Cooper
Издательство: Morgan Kaufmann
Год: 2023
Формат: PDF
Страниц: 848
Размер: 13,7 Mb
Язык: English

Engineering a Compiler, Third Edition covers the latest developments in compiler technology, with new chapters focusing on semantic elaboration (the problems that arise in generating code from the ad-hoc syntax-directed translation schemes in a generated parser), on runtime support for naming and addressability, and on code shape for expressions, assignments and control-structures.Leading educators and researchers, Keith Cooper and Linda Torczon, have revised this popular text with a fresh approach to learning important techniques for constructing a modern compiler, combining basic principles with pragmatic insights from their own experience building state-of-the-art compilers.

Название: Push Notifications by Tutorials 4th Edition
Автор: Scott Grosch
Издательство: Razeware LLC
Год: 2022
Формат: PDF
Страниц: 213
Размер: 20 Mb
Язык: English

Push notifications may seem simple and straightforward at first since almost everyone is familiar with them; however, knowing how and when to use them in practice can prove challenging. With advancements in the latest iOS releases bringing advanced features, such as rich media notifications, notification actions, grouped notifications and more, you will quickly realize that you need a book to help you out. Well, here’s that book!

Название: Занимайся хакингом как невидимка
Автор: Флоу С.
Издательство: ДMK
Год: 2023
Формат: True PDF
Страниц: 274
Размер: 46,4 Mb
Язык: Русский

Обучитесь секретным навыкам Спарка Флоу, проникающего в самые отдаленные уголки облачных инфраструктур. Наблюдайте за каждым его шагом, от разведки до проникновения, когда он атакует политическую консалтинговую фирму, собирающую данные избирателей. Цель вымышленная, но уязвимости взяты из реальной жизни. Испытайте вместе с ним всю гамму ощущений настоящего хакера – от разочарования и чувства бессилия, когда взлом зашел в тупик, до восторга и гордости после триумфального достижения цели.

Название: Cognitive Systems and Signal Processing in Image Processing
Автор: Yu-Dong Zhang, Arun Kumar Sangaiah
Издательство: Academic Press/Elsevier
Год: 2022
Страниц: 378
Язык: английский
Формат: pdf (true)
Размер: 16.3 MB

Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time.

Название: Practical MATLAB Deep Learning: A Projects-Based Approach 2nd Edition
Автор: Michael Paluszek, Stephanie Thomas, Eric Ham
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 338
Размер: 14,5 Mb
Язык: English

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning.

Название: Machine Learning for Biometrics: Concepts, Algorithms and Applications
Автор: Partha Pratim Sarangi, Madhumita Panda, Subhashree Mishra
Издательство: Academic Press/Elsevier
Год: 2022
Страниц: 240
Язык: английский
Формат: pdf (true)
Размер: 17.8 MB

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance.