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Название: A Simple Introduction to Python
Автор: Stephen Lynch
Издательство: CRC Press
Серия: The Python Series
Год: 2024
Страниц: 113
Язык: английский
Формат: pdf (true)
Размер: 21.4 MB

A Simple Introduction to Python is aimed at pre-university students and complete novices to programming. The whole book has been created using Jupyter notebooks. After introducing Python as a powerful calculator, simple programming constructs are covered, and the NumPy, MatPlotLib and SymPy modules (libraries) are introduced. Python is then used for Mathematics, Cryptography, Artificial Intelligence, Data Science and Object Oriented Programming. The reader is shown how to program using the integrated development environments: Python IDLE, Spyder, Jupyter notebooks, and through cloud computing with Google Colab. Currently, Python is the most popular programming language in the world. It is open source and completely free to the user. It is also fun to program with and extremely powerful at solving real-world problems. This book is for pre-university students or complete novices to programming. Each chapter provides both examples and exercises. In order to understand programming, the reader must attempt these exercises. Learning to program is like learning to ride a bike – you have to fall off many times before mastering the art. Expect to make many mistakes, learn from those mistakes and then move on to the next chapter. Full working solutions to all of the exercises and other resources will be provided via GitHub, where readers will be able to download all files for free. There will also be a web page with full-worked solutions, where readers can simply copy and paste code and run the programs in a Python environment. Readers should note that Python programs can easily be generated with ChatGPT, developed by OpenAI, and other alternatives such as Microsoft Bing, Perplexity AI and Google Bard AI, for example.

Название: Supervised and Unsupervised Data Engineering for Multimedia Data
Автор: Suman Kumar Swarnkar, J.P. Patra, Sapna Singh Kshatri
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 372
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies. The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including Artificial Intelligence (AI), Machine Learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether you’re a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age.

Название: Build an Orchestrator in Go (From Scratch) (Final Release)
Автор: Tim Boring
Издательство: Manning Publications
Год: 2024
Страниц: 288
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Develop a deep understanding of Kubernetes and other orchestration systems by building your own with Go and the Docker API. Orchestration systems like Kubernetes can seem like a black box: you deploy to the cloud and it magically handles everything you need. That might seem perfect—until something goes wrong and you don’t know how to find and fix your problems. Build an Orchestrator in Go (From Scratch) reveals the inner workings of orchestration frameworks by guiding you through creating your own. Build an Orchestrator in Go (From Scratch) gives you an inside-out perspective on orchestration frameworks and the low-level operation of distributed containerized applications. It takes you on a fascinating journey building a simple-but-useful orchestrator using the Docker API and Go SDK. As you go, you’ll get a guru-level understanding of Kubernetes, along with a pattern you can follow when you need to create your own custom orchestration solutions. Build an Orchestrator in Go (From Scratch) is for anyone responsible for deploying and operating an orchestration system (i.e., DevOps engineers and SREs) and for anyone responsible for deploying and managing applications that run on an orchestration system (i.e., software engineers).

Название: Actin Computation: Unlocking the Potential of Actin Filaments for Revolutionary Computing Systems
Автор: Andrew Adamatzky
Издательство: World Scientific Publishing
Год: 2024
Страниц: 329
Язык: английский
Формат: pdf (true)
Размер: 20.8 MB

Actin, a fundamental building block of intracellular cytoskeletal filaments, holds immense potential as a platform for information processing. In this groundbreaking book, the authors establish a solid theoretical and modelling foundation for the future experimental prototyping of actin-based cytoskeleton computers in laboratory settings. By delving into the mechanisms of signal propagation and perturbations on actin filaments, the authors uncover the underlying principles of information processing at the sub-cellular level. Through their innovative insights, novel principles for information processing emerge, potentially revolutionising the field of future and emergent information technologies and computational biology. The book's theoretical and modelling framework serves as a crucial stepping stone towards the experimental realisation of actin-based cytoskeleton computers. Bridging the gap between theory and practice, researchers and scientists can leverage this knowledge to conduct experiments, validate hypotheses, and explore the practical implications of actin-based computing systems. Readership: Primary: Computer architects, system developers, molecular biologists. Secondary: Popular computing-interested public.

Название: Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications
Автор: Rajganesh Nagarajan, Senthil Kumar Narayanasamy
Издательство: CRC Press
Год: 2024
Страниц: 429
Язык: английский
Формат: pdf (true)
Размер: 20.0 MB

The fields of intelligent systems and sustainability have been gaining momentum in the research community. They have drawn interest in such research fields as Computer Science, information technology, electrical engineering, and other associated engineering disciples. The promise of intelligent systems applied to sustainability is becoming a reality due to the recent advancements in the Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Blockchain, Deep Learning, and Machine Learning. The emergence of intelligent systems has given rise to a wide range of techniques and algorithms using an ensemble approach to implement novel solutions for complex problems associated with sustainability. Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications explores this ensemble approach towards building a sustainable future. The book helps researchers to apply intelligent systems to computational sustainability models to propose efficient methods, techniques, and tools.

Название: Secrets of Machine Learning: How It Works and What It Means for You
Автор: Tom Kohn
Издательство: World Scientific Publishing
Год: 2024
Страниц: 239
Язык: английский
Формат: pdf (true)
Размер: 10.5 MB

Cutting through the mass of technical literature on Machine Learning and AI and the plethora of fear-mongering books on the rise of killer robots, Secrets of Machine Learning offers a clear-sighted explanation for the informed reader of what this new technology is, what it does, how it works, and why it's so important.The surge in computer processing power along with the sheer quantities of training data available, means Machine Learning is now possible in ways wholly unthinkable just five years ago. Computers can recognize potential lung cancer better than doctors, detect fraud better than bankers, and create fake video almost impossible to tell from the real thing. And next, they are likely to drive our cars. Journalist and news product manager Tom Kohn gets to the heart of the revolutionary new technology that is developing all around us, explaining with precision how the different facets of Machine Learning work, how companies are using it, and why it is permeating all parts of society right now. The book guides readers through the arcane science and jargon in a clear and understandable way, but is detailed enough that it doesn't gloss over the hard technical concepts. If you want to know why Siri sometimes misunderstands you, how Netflix recommends your movies, and how Machine Learning will affect your job -- read this book. Anyone curious about how technology is changing in the workplace and the economy will benefit from learning how Machine Learning is filtering into different areas. Employees looking to future-proof their own skills, students seeking to get ahead as they enter the job market, and anyone with a general interest in cutting-edge industry.

Название: Metaheuristics for Machine Learning: Algorithms and Applications
Автор: Kanak Kalita, Narayanan Ganesh
Издательство: Wiley-Scrivener
Серия: Artificial Intelligence and Soft Computing for Industrial Transformation
Год: 2024
Страниц: 327
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

The book unlocks the power of nature-inspired optimization in Machine Learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in Machine Learning and Artificial Intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing Machine Learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into Machine Learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and Machine Learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Genetic algorithms (GAs) fit to a cluster of metaheuristic optimization techniques that draw inspiration from natural selection and genetics. In order to find the optimal solution for a particular issue, the core idea underlying the GA is to mimic the evolutionary process.

Название: Серия «Мастер программ». Сборник 22 книги
Автор: Коллектив
Издательство: БХВ-Петербург
Год: 2002-2004
Формат: PDF
Страниц: 1000+
Размер: 1.1 GB

Предметом издательской серии "Мастер программ" является широкий спектр тем по программированию: разработка прикладного программного обеспечения параллельных многопроцессорных систем, принципы функционирования Web-служб и инструменты для их создания и отладки, вопросы профессиональной разработки приложений в среде Borland Delphi 7 и т. п.

Название: Clean Code Principles and Patterns, 2nd Edition : A Software Practitioner's Handbook
Автор: Petri Silén
Издательство: Leanpub
Год: 2024-04-07
Страниц: 672
Язык: английский
Формат: pdf (true), epub
Размер: 61.4 MB

This book teaches you how to write clean code. It presents software design and development principles and patterns in a very practical manner. This book is suitable for both junior and senior developers. Some basic knowledge of programming in Python is required. All examples in this book are presented in Python, except some examples related to frontend code, which are in jаvascript/TypeScript. The content of this book is divided into ten chapters. All Python examples in this book require Python 3.11 or later. This is a book for primarily software developers. For that reason, some topics are not covered exhaustively. This includes topics related to architecture, DevSecOps, E2E, and non-functional testing. Those are topics most relevant to software architects, DevOps specialists and test/QA engineers. I want to cover them in this book because it is always good to have a basic understanding of topics closely related to software development. This book presents a lot of principles, best practices, and patterns. It can be difficult to grasp them all on a single read, which is not the purpose. You should pick the most relevant topics for yourself, embrace them, and try to put them into use in everyday coding.

Название: Automatic Speech Recognition and Translation for Low Resource Languages
Автор: L. Ashok Kumar, D. Karthika Renuka, Bharathi Raja Chakravarthi
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 646
Язык: английский
Формат: epub
Размер: 42.5 MB

This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology.