Название: Dependable Computing: Design and Assessment
Автор: Rаvishаnkаr К. Iуеr, Zbigniеw Т. Каlbаrсzуk, N. М. Nаkkа
Издательство: Wiley-IEEE Press
Год: 2024
Страниц: 851
Язык: английский
Формат: pdf (true), epub
Размер: 24.5 MB

Covering dependability from software and hardware perspectives. Dependable Computing: Design and Assessment looks at both the software and hardware aspects of dependability. This book is suitable for those studying in the fields of computer engineering and Computer Science. Professionals who are working within the new reality to ensure dependable computing will find helpful information to support their efforts. With the support of practical case studies and use cases from both academia and real-world deployments, the book provides a journey of developments that include the impact of Artificial Intelligence and Machine Learning on this ever-growing field. This book offers a single compendium that spans the myriad areas in which dependability has been applied, providing theoretical concepts and applied knowledge with content that will excite a beginner, and rigor that will satisfy an expert. Accompanying the book is an online repository of problem sets and solutions, as well as slides for instructors, that span the chapters of the book.

Название: Artificial Intelligence for Learning: Using AI and Generative AI to Support Learner Development, 2nd Edition
Автор: Dоnаld Сlаrk
Издательство: Kogan Page
Год: 2024
Страниц: 313
Язык: английский
Формат: pdf (true), epub
Размер: 22.7 MB

With Artificial Intelligence (AI) creating huge opportunities for learning and employee development, how can learning professionals best implement the use of AI into their environment? Artificial Intelligence for Learning is the essential guide for learning professionals who want to understand how to use AI to improve all aspects of learning in organizations. This new edition debunks the myths and misconceptions around AI, discusses the learning theory behind generative AI and gives strategic and practical advice on how AI can be used. This book also includes specific guidance on how AI can provide learning support, chatbot functionality and content, as well as ideas on ethics and personalization. This book is necessary reading for all learning practitioners needing to understand AI and what it means in practice. AI in one sense means doing what humans do when they learn. The AI field is thick with references to ‘learning’, the most common being machine, deep and reinforcement learning. Machine Learning uses algorithms and statistical models and applies patterns and inferences to perform tasks through experience. This is analogous to traditional learning through exposure to taught experiences. Deep Learning is a Machine Learning technique that uses layered neural networks with large datasets, supervised, semi-supervised or unsupervised, to perform tasks. This is more like learning from the real world to gain competence and solve actual problems. Reinforcement learning operates on maximizing reward by exposure to existing knowledge and exploring new knowledge.

Название: English with Games and Activities
Автор: Carter Paul, Caren Mackie
Год: 2002-2004
Изд-во: ELI s.r.l.
Стр.: 3*96
Формат: pdf
Размер: 100.3 Мб
Язык: English

English with games and activities is designed for elementary students of varying ages, studying English as a foreign language.
There are 3 volumes in the series and each volume contains games and activities which help students to gradually acquire basic vocabulary and grammar.
There are 14 units in each volume and each unit deals with a different vocabulary topic.
There are about 20 illustrated words on the first page of each unit. These words are then used on the following five pages in various games and activities such as crosswords, word searches, anagrams etc.
At the end of each unit a grammar point is introduced, followed by various related exercises using vocabulary from the unit.

Название: «Фрам» в полярном море (серия «Великие путешествия»)
Автор: Нансен Ф.
Издательство: М.: Эксмо
ISBN: 978-5-699-34134-4
Качество: Отсканированные страницы, OCR, хорошее
Год: 2010
Формат: PDF/DjVu
Размер: 170 Mb
Количество страниц: 512 с.: ил.

«Фрам» в полярном море» — увлекательный, эмоциональный и насыщенный выразительными подробностями рассказ великого норвежского полярного исследователя Фритьофа НАНСЕНА (1861—1930) о его знаменитой попытке покорения Северного полюса в ходе легендарного дрейфа корабля «Фрам» от российских Новосибирских островов до Шпицбергена (1893—1896).

Название: Computability and Complexity: Foundations and Tools for Pursuing Scientific Applications
Автор: Rоd Dоwnеу
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2024
Страниц: 361
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This is a book about computation, something which is ubiquitous in the modern world. More precisely, it examines computability theory and computational complexity theory. Computability theory is the part of mathematics and Computer Science which seeks to clarify what we mean by computation or algorithm. When is there a computational solution possible to some question? How can we show that none is possible? How computationally hard is the question we are concerned with? Arguably, this area lead to the development of digital computers. (Computational) complexity theory is an intellectual heir of computability theory. Complexity theory is concerned with understanding what resources are needed for computation, where typically we would measure the resources in terms of time and space. Can we perform some task in a feasible number of steps? Can we perform some algorithm with only a limited memory? Does randomness help? Are there standard approaches to overcoming computational difficulty?

Название: MATLAB and Simulink in Action: Programming, Scientific Computing and Simulation
Автор: Хuе Dingуu, Раn Fеng
Издательство: Springer
Год: 2024
Страниц: 472
Язык: английский
Формат: pdf (true), epub
Размер: 118.0 MB

The textbook is intended for teaching MATLAB language and its applications. MATLAB language is the most widely used computer languages in scientific computing, automatic control and system simulation. The book is composed of three parts: MATLAB programming, scientific computing with MATLAB, and system simulation with Simulink. Since MATLAB is widely used in all fields of science and engineering, a good introduction to the language can not only help students learn how to use it to solve practical problems, but also provide them with the skills to use MATLAB independently in their later courses and research. The three parts of the book are well-balanced and tailored to the needs of engineering students, and the mathematical problems commonly encountered in engineering can be easily solved using MATLAB. This textbook is suitable for undergraduate and graduate students majoring in science and engineering. MATLAB language is a highly integrated language. The statements are concise. It comes with powerful built-in facilities, such that tens or hundreds lines of source code in ordinary C or Fortran can be solved with a couple of lines in MATLAB. It is highly reliable and easy to maintain. The efficiency in solving scientific problems is significantly promoted.

Название: Analog Electronics: Exploring Signals and Circuits
Автор: Diеgо Vеgа Rаmirеz
Издательство: Independently published
Серия: Master in Electronics: From Beginner to Engineer
Год: 2024
Страниц: 108
Язык: английский
Формат: epub
Размер: 12.7 MB

Despite the predominance of digitalization, analog electronics continues to be an essential pillar in technological development and innovation. This book, "Analog Electronics: Exploring Signals and Circuits," is the second volume in a series dedicated to unraveling the mysteries and applications of electronics, with a special focus on its analog aspects. The importance of analog electronics lies in its omnipresence and versatility. From the capture of real-world signals to the final stage of actuation in digital systems, analog electronics form the indispensable interface that allows electronic devices to interact with their environment. This book is designed not only to teach the fundamental principles and theories of analog electronics, but also to show how these concepts are applied in practice, opening up a world of possibilities for engineering design and innovation. This volume is structured to guide the reader through an educational journey, starting with the fundamentals of analog electronics, exploring the basic components, and progressing to more complex concepts such as operational amplifiers, analog filters, oscillators, and power circuits. Each chapter is designed to build on previous knowledge, ensuring a solid understanding of each topic before proceeding to the next. Additionally, the practical application of theory is emphasized, with examples and exercises that allow the reader to directly experiment with the concepts discussed.

Название: A Practical Guide to Data Analysis Using R: An Example-Based Approach
Автор: Jоhn Н. Маindоnаld, W. Jоhn Вrаun, Jеffrеу L. Аndrеws
Издательство: Cambridge University Press
Год: 2024
Страниц: 551
Язык: английский
Формат: pdf
Размер: 15.9 MB

Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition, it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R. This text is designed as an aid, for learning and for reference, in the navigation of a world in which unprecedented new data sources, and tools for data analysis, are pervasive. It aims to teach, using real-world examples, a style of analysis and critique that, given meaningful data, can generate defensible analysis results. The text is suitable for a style of learning where readers work through the text with a computer at their side, running the R code as and when this seems helpful. It complements more mathematically oriented accounts of statistical methodology. The appendix provides a brief account of R, primarily as a starting point for learning. We encourage readers with limited R experience to avail themselves of the wealth of instructional material on the web.

Название: The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond
Автор: Маriа Наn Vеigа, Frаnсоis Gаstоn Gеd
Издательство: De Gruyter
Год: 2024
Страниц: 210
Язык: английский
Формат: pdf (true), epub
Размер: 29.0 MB

This book is an introduction to Machine Learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate students of Mathematics. There is a focus on well-known Supervised Machine Learning algorithms, detailing the existing theory to provide some theoretical guarantees, featuring intuitive proofs and exposition of the material in a concise and precise manner. A broad set of topics is covered, giving an overview of the field. A summary of the topics covered is: statistical learning theory, approximation theory, linear models, kernel methods, Gaussian processes, deep neural networks, ensemble methods and unsupervised learning techniques, such as clustering and dimensionality reduction. Machine Learning aims at building algorithms that autonomously learn how to perform a task from examples. This definition is rather vague on purpose, but to make it slightly clearer, by “autonomously” we mean that no expert is teaching (or coding by hand) the solution; by “learn” we mean that we have a measure of performance of the algorithm output on the task. This book is suited for students who are interested in entering the field, by preparing them to master the standard tools in Machine Learning. The reader will be equipped to understand the main theoretical questions of the current research and to engage with the field.

Название: Перекресток судьбы. Пустышка. Цикл из 7 книг
Автор: Юрий Москаленко
Издательство: Самиздат
Год: 2023-2024
Формат: fb2, rtf
Размер: 11 Мб
Качество: Хорошее
Язык: Русский

Бояре анимэ. Альтернативная история России. Приключения почти простолюдина. Антимаг, но какой-то неправильный. Без войн… просто развитие и жизнь по приколу…