Название: Quantum Computing: A Shift from Bits to Qubits
Автор: Rajiv Pandey, Nidhi Srivastava, Neeraj Kumar Singh
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 487
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The edited book is a consolidated handbook on quantum computing that covers quantum basic science and mathematics to advanced concepts and applications of quantum computing and quantum Machine Learning applied to diverse domains. The book includes dedicated chapters on introduction to quantum computing, its practical applications, the working behind quantum systems, quantum algorithms, quantum communications, and quantum cryptography. Each challenge that can be addressed with quantum technologies is further discussed from theoretical and practical perspectives. The book is divided into five parts: Part I: Scientific Theory for Quantum, Part II: Quantum Computing: Building Concepts, Part III: Quantum Algorithms - Theory & Applications, Part IV: Quantum Simulation Tools & Demonstrations, and Part V: Future Direction and Applications. Quantum computers work on quantum bits known as Qubit. Qubits are the backbone behind the working of the quantum computer. For every Qubit, two possible values allow performing most calculations simultaneously. A Qubit can be anything that exhibits quantum behavior. Quantum computers, with the use of superposition and entanglement, can store a vast amount of information which is not possible now. This superposition of Qubit being 0 or 1 is a powerful feature that can be exploited in many valuable ways.

Название: Introducing .NET MAUI: Build and Deploy Cross-platform Applications Using C# and .NET Multi-platform App UI
Автор: Shaun Lawrence
Издательство: Apress
Год: 2023
Страниц: 450
Язык: английский
Формат: pdf, epub + Code
Размер: 10.3 MB

Interested in giving Microsoft’s new Multi-platform App UI (MAUI) a try? This book provides developers with a comprehensive set of tools and hands-on coding to build their own cross-platform applications. The book is a comprehensive end-to-end guide on creating, building, and distributing .NET MAUI applications. As you walk through each new concept, .NET MAUI expert and Microsoft MVP Shaun Lawrence will show the concept's value and uses, and then have you apply it in a build-along application. You will work with this build-along application right up until you are ready to ship it to the relevant stores (e.g., App Store, etc.). The underlying theme through the book is to explain a key concept, show how to implement it directly in order to reinforce your understanding, and then show potential simplifications (e.g., alternative libraries) that can help you reduce the complexities of an applications code base.

Название: Working with Data in Public Health: A Practical Pathway with R
Автор: Peng Zhao
Издательство: Springer/Xian Jiaotong University Press
Год: 2023
Страниц: 201
Язык: английский
Формат: pdf (true), epub
Размер: 39.5 MB

This book provides a complete practical guide of processing data in public health with R language. On the basis of the author’s research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well. Years of teaching R to undergraduates has struck me with the realization that even if students are well equipped with a lot of skills in R, they may find it difficult to pick out the proper tools when they need them. Conversely, if they conduct research without learning R, they may have no idea what R can achieve for them. This book is neither a book for the R language, nor for statistics, nor for Data Science, nor for public health. It is a mixture of them. In this book, I would like to demonstrate how to apply R language to processing data in public health with practical examples. Thus, the preferable usage of this book is a textbook for teaching or learning R language or Data Science in public health, although it can also be used across disciplines.

Название: Evolutionary Multi-Task Optimization: Foundations and Methodologies
Автор: Liang Feng, Abhishek Gupta, Kay Chen Tan
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2023
Страниц: 220
Язык: английский
Формат: pdf (true), epub
Размер: 38.5 MB

A remarkable facet of the human brain is its ability to manage multiple tasks with apparent simultaneity. Knowledge learned from one task can then be used to enhance problem-solving in other related tasks. In Machine Learning, the idea of leveraging relevant information across related tasks as inductive biases to enhance learning performance has attracted significant interest. In contrast, attempts to emulate the human brain’s ability to generalize in optimization – particularly in population-based evolutionary algorithms – have received little attention to date. Recently, a novel evolutionary search paradigm, Evolutionary Multi-Task (EMT) optimization, has been proposed in the realm of evolutionary computation. Optimization is an essential ingredient in many real-world problem solving systems and Artificial Intelligence (AI) algorithms.

Название: AI, Machine Learning and Deep Learning: A Security Perspective
Автор: Fei Hu, Xiali Hei
Издательство: CRC Press
Год: 2023
Страниц: 347
Язык: английский
Формат: pdf (true)
Размер: 40.6 MB

Today, Artificial Intelligence (AI) and Machine Learning/Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use. While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security).

Название: Mastering Data Analysis with Python: A Comprehensive Guide to NumPy, Pandas, and Matplotlib
Автор: Rajender Kumar
Издательство: Jamba Academy
Год: 2023
Страниц: 532
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book aimed at individuals looking to enhance their data analysis skills. The book provides a comprehensive guide to the Python libraries NumPy, Pandas, and Matplotlib, which are commonly used for data analysis tasks. The book is divided into several chapters, each of which covers a different topic in data analysis. The first chapter introduces the NumPy library, which is used for numerical computing tasks such as array manipulation, linear algebra, and Fourier analysis. The subsequent chapters cover the Pandas library, which is used for data manipulation and analysis tasks such as data cleaning, merging, and aggregation. To make it even more convenient for readers, we are offering all the code discussed in the book as Jupyter notebooks on the GitHub. Jupyter notebooks provide an interactive computing environment that enables users to write and run code, as well as create visualizations and documentation in a single document. This makes it a perfect tool for learning and experimenting with Machine Learning and Deep Learning concepts. The code provided on the Github repository can be downloaded and used freely by readers. The notebooks are organized according to the chapters in the book, making it easier for readers to find the relevant code for each concept.

Название: Intelligent Image and Video Analytics: Clustering and Classification Applications
Автор: El-Sayed M. El-Alfy, George Bebis, MengChu Zhou
Издательство: CRC Press
Год: 2023
Страниц: 361
Язык: английский
Формат: pdf (true)
Размер: 12.4 MB

Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, Big Data analytics, Machine Learning, neural network, and Deep Learning with focus on multimodality video analytics and recent advances in research/applications.

Название: AI Computing Systems: An Application Driven Perspective
Автор: Yunji Chen, Ling Li, Wei Li, Qi Guo
Издательство: Morgan Kaufmann
Год: 2023
Страниц: 441
Язык: английский
Формат: pdf (true)
Размер: 12.6 MB

The first application-driven textbook for Artificial Intelligence majors featuring software and hardware full-stack penetration. AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time. Artificial Intelligence (AI), particularly Deep Learning, is evolving at an incredibly fast pace and has already achieved (or even surpassed) human performance in a number of applications, including image recognition, speech recognition, natural language processing (NLP), and video games.

Название: AI Factory: Theories, Applications and Case Studies
Автор: Ramin Karim, Diego Galar, Uday Kumar
Издательство: CRC Press
Год: 2023
Страниц: 445
Язык: английский
Формат: pdf (true)
Размер: 23.5 MB

This book provides insights into how to approach and utilise Data Science tools, technologies, and methodologies related to Artificial Intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI technologies and their interconnections. It includes descriptions of various technology and methodology approaches and their purpose and benefits when developing AI solutions in industrial contexts. In addition, this book summarises experiences from AI technology deployment projects from several industrial sectors. This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and Machine Learning (ML), engineering managers, operational and maintenance specialists, asset managers, and digital and AI manufacturing specialists.

Название: Spatial Data Science: With Applications in R
Автор: Edzer Pebesma, Roger Bivand
Издательство: CRC Press
Серия: The R Series
Год: 2023
Страниц: 315
Язык: английский
Формат: pdf (true)
Размер: 29.5 MB

Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its consequences for analysis, and how attributes of geometries can relate to geometries. In the second part of the book, these concepts are illustrated with data science examples using the R language. In the third part, statistical modelling approaches are demonstrated using real world data examples. After reading this book, the reader will be well equipped to avoid a number of major spatial data analysis errors. The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature access, and stars for raster and vector data cubes – array data with spatial and temporal dimensions. It also shows how geometrical operations change when going from a flat space to the surface of a sphere, which is what sf and stars use when coordinates are not projected (degrees longitude/latitude). Separate chapters detail a variety of plotting approaches for spatial maps using R, and different ways of handling very large vector or raster (imagery) datasets, locally, in databases, or in the cloud. The data used and all code examples are freely available online.