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 Название: Academic English for Computer Science
Автор: Noni Rizopoulou
Издательство: Disigma Publications
Год: 2022
Страниц: 304
Язык: английский
Формат: epub
Размер: 14.4 MB
Academic English for Computer Science aims to provide a tool for the effective study of computational science and technology. It addresses international students who use English as a second language. It can be used as a foundation course in undergraduate programs of Computer Science (CS), Computer Engineering, and Information Technology (IT). The material of this course draws content from core areas of Computer Science, aspiring to create an initial induction in the field. Furthermore, the academic skills incorporated in each content unit will enhance the students' ability to: - Read and interpret a wide variety of texts and genres relevant to computing. - Acquire a solid base of domain-specific terminology. - Practice various note-taking methods, to improve their overall academic experience and personal growth process. - Write argumentation essays to illustrate similar and opposing views. - Cite known researchers and acknowledge contributions from peers in the field. - Communicate with other practitioners in a way that shows respect for diverse perspectives. - Deliver their own message in a genuine and powerful way. | |
Разместил: Ingvar16 7-02-2024, 22:28 | Комментарии: 0 | Подробнее
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 Название: Transformative AI: Responsible, Transparent, and Trustworthy AI systems
Автор: Ahmed Banafa
Издательство: River Publishers
Серия: River Publishers Series in Computing and Information Science and Technology
Год: 2024
Страниц: 172
Язык: английский
Формат: pdf (true)
Размер: 15.1 MB
Transformative Artificial Intelligence provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence (AI). The book covers the state of the art in AI research, including Machine Learning, Natural Language Processing (NLP), Computer Vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment. The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy. The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Machine Learning is a subset of Artificial Intelligence (AI) that involves the use of algorithms and statistical models to enable machines to learn from data and improve their performance on specific tasks. It is a rapidly growing field with numerous applications across various industries, including healthcare, finance, transportation, and more. In this essay, we will explore what Machine Learning is, how it works, and its current and potential future applications. | |
Разместил: Ingvar16 7-02-2024, 21:11 | Комментарии: 0 | Подробнее
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 Название: 50 javascript Concepts Every Developer Should Know: The Perfect Guide Every javascript Developer Needs to Get Started
Автор: Hernando Abella
Издательство: Aluna Publishing House
Серия: 50 Concepts Every Developer Should Know
Год: November 14, 2023
Страниц: 106
Язык: английский
Формат: epub
Размер: 38.8 MB
This Book is wonderful because it has not only fundamental concepts but also intermediate and advanced ones. You will learn topics such as: - Design patterns; - Clean code; - Error handling; - Ternary operator; - Destructuring. And many more concepts that will help you feel more confident with the javascript programming language. By knowing these concepts, you will begin to handle the javascript Syntax more efficiently and will help you with most of the code quickly. | |
Разместил: Ingvar16 7-02-2024, 20:33 | Комментарии: 0 | Подробнее
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 Название: Cryptography: Algorithms, Protocols, and Standards for Computer Security
Автор: Zoubir Mammeri
Издательство: Wiley
Год: 2024
Страниц: 616
Язык: английский
Формат: pdf (true)
Размер: 39.8 MB
An introduction to one of the backbones of the digital world. Cryptography is one of the most important aspects of information technology security, central to the protection of digital assets and the mitigation of risks that come with increased global connectivity. The digital world is wholly reliant on secure algorithms and protocols for establishing identity, protecting user data, and more. Groundbreaking recent developments in network communication and a changing digital landscape have been accompanied by similar advances in cryptography, which is more central to digital life than ever before. Cryptography is the discipline at the intersection of Computer Science and mathematics. It provides algorithms for guaranteeing confidentiality, integrity, authentication, and non-repudiation for parties that share data or exchange messages to perform operations and transactions in cyberspace. This book constitutes a comprehensive yet accessible introduction to the algorithms, protocols, and standards which protect the modern internet. Built around both foundational theories and hundreds of specific algorithms, it also incorporates the required skills in complex mathematics. The result is an indispensable introduction to the protocols and systems which should define cryptography for decades to come. | |
Разместил: Ingvar16 7-02-2024, 14:51 | Комментарии: 0 | Подробнее
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 Название: From Algorithms to Thinking Machines: The New Digital Power
Автор: Domenico Talia
Издательство: ACM Books
Год: September 25, 2023
Страниц: 360
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
This book introduces and provides an analysis of the basic concepts of algorithms, data, and computation and discusses the role of algorithms in ruling and shaping our world. It provides a clear understanding of the power and impact on humanity of the pervasive use of algorithms. From Algorithms to Thinking Machines combines a layman's approach with a well-founded scientific description to discuss both principles and applications of algorithms, Big Data, and machine intelligence. The book provides a clear and deep description of algorithms, software systems, data-driven applications, Machine Learning, and Data Science concepts, as well as the evolution and impact of Artificial Intelligence (AI). After introducing computing concepts, the book examines the relationships between algorithms and human work, discussing how jobs are being affected and how computers and software programs are influencing human life and the labor sphere. Topics such as value alignment, collective intelligence, Big Data impact, automatic decision methods, social control, and political uses of algorithms are illustrated and discussed at length without excessive technical detail. | |
Разместил: Ingvar16 7-02-2024, 14:27 | Комментарии: 0 | Подробнее
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 Название: Artificial Intelligence of Things (AIoT): New Standards, Technologies and Communication Systems
Автор: Kashif Naseer Qureshi, Thomas Newe
Издательство: CRC Press
Год: 2024
Страниц: 231
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT networks to improve human and machine interfaces and enhance data processing and services. AIoT networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIoT networks. Artificial Internet of Things (AIoT) is a new concept where Machine Learning and Deep Learning technologies meet the new application requirements in real-time manners. IoT network devices have limited resources in terms of storage, energy, and processing capabilities. These constraints increase the different Quality of Service (QoS) challenges and issues. The combination of AI and IoT enhances the sensing and communication services to achieve high performance. The intelligence is used at macro and micro levels in AIoT networks. | |
Разместил: Ingvar16 7-02-2024, 04:35 | Комментарии: 0 | Подробнее
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 Название: Head First javascript Programming: A Learner’s Guide to Modern javascript, 2nd Edition (Early Release)
Автор: Eric Freeman, Elisabeth Robson
Издательство: O’Reilly Media, Inc.
Год: 2024-02-06
Язык: английский
Формат: epub
Размер: 16.5 MB
What will you learn from this book? Now in its second edition, this brain-friendly guide is your comprehensive journey into modern javascript, covering everything from the core language fundamentals to cutting-edge features that define javascript today. You'll dive into the nuances of javascript types and the unparalleled flexibility of its functions. You'll learn how to expertly navigate classes and objects, and you'll finally understand closures. But that's just the beginning—you'll also get hands-on with the browser's document object model (DOM), engaging with javascript in ways you've only imagined. You won't just be reading—you'll be playing games, solving puzzles, pondering mysteries, and interacting with javascript. And you'll write real code, lots of it, so you can start building your own web applications. If you've read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you'll learn javascript through a multisensory experience that engages your mind—rather than a text-heavy approach that puts you to sleep. | |
Разместил: Ingvar16 7-02-2024, 03:57 | Комментарии: 0 | Подробнее
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 Название: Machine Learning for Complex and Unmanned Systems
Автор: Jose Martinez-Carranza, Everardo Inzunza-Gonzalez, Enrique Efren Garcia-Guerrero
Издательство: CRC Press
Год: 2024
Страниц: 386
Язык: английский
Формат: pdf (true)
Размер: 25.4 MB
This book highlights applications that include Machine Learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects Machine Learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of Machine Learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss miscellaneous applications required by both complex and unmanned systems, in the areas of Artificial Intelligence (AI), cryptography, embedded hardware, electronics, the Internet of Things (IoT), and healthcare. Each chapter provides guidelines and details of different methods that can be reproduced in hardware/software and discusses future research. | |
Разместил: Ingvar16 6-02-2024, 19:32 | Комментарии: 0 | Подробнее
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 Название: Online Machine Learning: A Practical Guide with Examples in Python
Автор: Eva Bartz, Thomas Bartz-Beielstein
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2024
Страниц: 163
Язык: английский
Формат: pdf (true), epub
Размер: 19.0 MB
This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three parts: the first part looks in detail at the theoretical foundations of OML, comparing it to Batch Machine Learning (BML) and discussing what criteria should be developed for a meaningful comparison. The second part provides practical considerations, and the third part substantiates them with concrete practical applications. The book is equally suitable as a reference manual for experts dealing with OML, as a textbook for beginners who want to deal with OML, and as a scientific publication for scientists dealing with OML since it reflects the latest state of research. But it can also serve as quasi OML consulting since decision-makers and practitioners can use the explanations to tailor OML to their needs and use it for their application and ask whether the benefits of OML might outweigh the costs. Chapter 1 describes the motivation for this book and the objective. Chapter 2 gives an overview and evaluation of methods and algorithms with special focus on supervised learning. Chapter 3 describes procedures for drift detection. Updateability of OML procedures is discussed in Chap. 4. Chapter 5 explains procedures for the evaluation of OML methods. Chapter 6 deals with special requirements for OML. Possible OML applications are presented in Chap. 7 and evaluated by experts in official statistics. The availability of the algorithms in software packages, especially for R and Python, is presented in Chap. 8. | |
Разместил: Ingvar16 6-02-2024, 18:40 | Комментарии: 0 | Подробнее
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 Название: Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn
Автор: Abdelaziz Testas
Издательство: Apress
Год: 2023
Страниц: 500
Язык: английский
Формат: pdf (true), epub (true), mobi
Размер: 10.1 MB
Migrate from Pandas and Scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and Machine Learning with PySpark. You will learn to translate Python code from Pandas/Scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular Machine Learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Naive Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using PySpark, the industry standard for building scalable ML data pipelines. Data scientists, data engineers, and machine learning practitioners who have some familiarity with Python, but who are new to distributed machine learning and the PySpark framework. | |
Разместил: Ingvar16 6-02-2024, 06:31 | Комментарии: 0 | Подробнее
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