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 Название: Learning TypeScript 5: Go beyond javascript to build more maintainable and robust web applications for large-scale projects
Автор: Anna Richter
Издательство: GitforGits
Год: 2024
Страниц: 451
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
Programmers familiar with javascript who wish to learn more about TypeScript version 5.0 will find this book to be a resource of great value This book is ideal for developers who want to improve their front-end programming skills and integrate TypeScript with popular frameworks such as Angular and React. With clear explanations and hands-on examples, this book makes the transition from javascript to TypeScript easy and enjoyable. The book covers fundamental concepts such as static typing, type checking, and type inference, which will help you write more reliable and maintainable code. You'll learn how to use TypeScript's features to improve your development process, reduce bugs, and increase code quality. You'll learn about TypeScript's advanced features, such as interfaces, modules, and type narrowing techniques, through hands-on examples. To help you write more efficient and clean code, this book also covers how to use async/await and Promises to deal with asynchronous operations. "Learning TypeScript 5" offers solutions and troubleshooting techniques for the most common TypeScript challenges that developers face. You'll find out how to make your own error classes for different situations and how to use TypeScript's try/catch blocks to manage errors effectively. Integrating TypeScript with existing javascript applications, configuring the TypeScript compiler, and setting up TypeScript projects are all covered in the book. After finishing this book, you will have the knowledge and abilities to create scalable applications with TypeScript and work with frameworks such as Angular and React with ease. This book is ideal for developers who want to improve their front-end programming skills and integrate TypeScript with popular frameworks such as Angular and React. With clear explanations and hands-on examples, this book makes the transition from javascript to TypeScript easy and enjoyable. | |
Разместил: Ingvar16 4-08-2024, 15:06 | Комментарии: 0 | Подробнее
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 Название: Driving Value with Sprint Goals: Humble Plans, Exceptional Results (Final)
Автор: Maarten Dalmijn
Издательство: Pearson Education/Addison-Wesley Professional
Год: 2024
Страниц: 256
Язык: английский
Формат: True/Retail (PDF EPUB)
Размер: 31.4 MB
Leverage Sprint Goals to Supercharge Teamwork and Build Winning Products. There are many books on Scrum and how to do Scrum the right way. This isn't one of those books.Driving Value with Sprint Goals will teach you how to deliver exceptional value. To build great products, all teams and participants must align behind clear goals that deliver real value (outcomes)—not just more features (output). Sprint Goals are your most powerful tool for achieving this alignment, but many teams avoid, misuse, or struggle with them. Maarten Dalmijn guides you through defining, creating, and executing on Sprint Goals that deliver outstanding value to customers and the business. This concise guide is packed with strategies and concepts for building high-performing teams that accelerate the delivery of value. As you reconsider critical Scrum and product management processes through the lens of the Sprint Goal, you can transform your entire organization from being low-value "feature factories" to delivering high-value outcomes. Driving Value with Sprint Goals will reshape the way you think about delivering value by offering a fresh and cohesive perspective invaluable to every Product Owner, Product Manager, Scrum Master, Agile Coach, and tech executive. | |
Разместил: Ingvar16 4-08-2024, 06:07 | Комментарии: 0 | Подробнее
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 Название: The Quantum Evolution: Application of AI and Robotics in the Future of Quantum Technology
Автор: Alex Khang, Kali Charan Rath
Издательство: CRC Press
Год: 2025
Страниц: 556
Язык: английский
Формат: pdf (true)
Размер: 17.1 MB
The book offers a comprehensive exploration of the fusion between quantum technology, Artificial Intelligence (AI), and robotics, providing readers with a deep understanding of the interplay between these fields and the transformative potential they hold. The Quantum Evolution: Application of AI and Robotics in the Future of Quantum Technology uncovers the potential of quantum algorithms to tackle complex computational problems exponentially faster than classical counterparts. Readers are introduced to quantum machine learning and its potential to revolutionize AI by enabling more efficient data analysis, pattern recognition, and decision-making. The book explores the potential applications of quantum-inspired neural networks and how they can enhance the capabilities of AI systems, ushering in a new era of intelligent machines. It also delves into the potential risks and challenges associated with quantum technology integration, such as quantum security and privacy concerns. The book showcases numerous real-world applications and examples of how quantum technology, AI, and robotics are being utilized today, giving readers concrete insights into how these advancements are shaping industries, health care, communication, and more. Quantum computing and quantum machine learning represent two of the most cutting-edge and transformative felds in the realm of technology and Artificial Intelligence. As quantum computing continues to advance, it promises to revolutionize the world of computing by harnessing the unique properties of quantum mechanics to perform computations at speeds that were once considered unimaginable. In parallel, quantum machine learning emerges as an interdisciplinary field that combines the principles of quantum physics with the capabilities of Machine Learning, offering the potential to solve complex problems that were previously insurmountable for classical computers. This merging of quantum technology and Artificial Intelligence opens up a realm of possibilities for industries ranging from healthcare and finance to cryptography and optimization. | |
Разместил: Ingvar16 4-08-2024, 01:39 | Комментарии: 0 | Подробнее
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 Название: CompTIA DataX Study Guide: Exam DY0-001
Автор: Fred Nwanganga
Издательство: Sybex
Год: 2024
Страниц: 416
Язык: английский
Формат: epub (true)
Размер: 14.5 MB
Demonstrate your Data Science skills by earning the brand-new CompTIA DataX credential. In CompTIA DataX Study Guide: Exam DY0-001, data scientist and analytics professor, Fred Nwanganga, delivers a practical, hands-on guide to establishing your credentials as a Data Science practitioner and succeeding on the CompTIA DataX certification exam. In this book, you'll explore all the domains covered by the new credential, which include key concepts in mathematics and statistics; techniques for modeling, analysis and evaluating outcomes; foundations of Machine Learning; Data Science operations and processes; and specialized applications of Data Science. This up-to-date Study Guide walks you through the new, advanced-level Data Science certification offered by CompTIA and includes hundreds of practice questions and electronic flashcards that help you to retain and remember the knowledge you need to succeed on the exam and at your next (or current) professional Data Science role. Data Science is an interdisciplinary field that has rapidly evolved to become a cornerstone of modern business, research, and technology. At its core, Data Science integrates principles from statistics, mathematics, Computer Science, and domain-specific knowledge to unlock insights that can drive decision-making and innovation. Statistics and mathematics provide the foundational framework for data analysis, enabling data scientists to summarize data, test hypotheses, and draw inferences. Computer Science, particularly in areas such as algorithms, data structures, database management, and programming, is essential for handling and processing data efficiently. Domain expertise, meanwhile, is crucial for understanding the context of the data and interpreting the results in a meaningful way. | |
Разместил: Ingvar16 3-08-2024, 18:40 | Комментарии: 0 | Подробнее
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 Название: Deep Learning for Video Understanding
Автор: Zuxuan Wu, Yu-Gang Jiang
Издательство: Springer
Год: 2024
Страниц: 194
Язык: английский
Формат: pdf (true), epub
Размер: 42.2 MB
This book presents Deep Learning techniques for video understanding. For Deep Learning basics, the authors cover Machine Learning pipelines and notations, 2D and 3D Convolutional Neural Networks for spatial and temporal feature learning. For action recognition, the authors introduce classical frameworks for image classification, and then elaborate both image-based and clip-based 2D/3D CNN networks for action recognition. For action detection, the authors elaborate sliding windows, proposal-based detection methods, single stage and two stage approaches, spatial and temporal action localization, followed by datasets introduction. For video captioning, the authors present language-based models and how to perform sequence to sequence learning for video captioning. For unsupervised feature learning, the authors discuss the necessity of shifting from supervised learning to unsupervised learning and then introduce how to design better surrogate training tasks to learn video representations. Finally, the book introduces recent self-training pipelines like contrastive learning and masked image/video modeling with transformers. The book provides promising directions, with an aim to promote future research outcomes in the field of video understanding with Deep Learning. | |
Разместил: Ingvar16 3-08-2024, 17:08 | Комментарии: 0 | Подробнее
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 Название: ChatGPT & Co.: A Workbook for Writing, Research, Creating Images, Programming, and More
Автор: Rainer Hattenhauer
Издательство: CRC Press
Год: 2025
Страниц: 344
Язык: английский
Формат: pdf (true)
Размер: 18.5 MB
Would you like to know how you can benefit from generative artificial intelligence (AI)? Then this book will be of great help to you. It shows you how AI can make your life easier, and it will teach you what added value the current application scenarios of ChatGPT, Midjourney and various other AI tools offer and where their limits lie. Whether you want to write text, conduct research, generate images or create your own program code, you can get started right away without any previous knowledge. Bolstered with many practical examples from the most diverse areas of application, this book presents ChatGPT as part of an ever-growing toolkit, and guides you on which tools to utilize and apply. This is a valuable workbook for those looking to harness and incorporate ChatGPT and generative AI into their work, studies or general life. Coders – the modern term for the species of programmers – have been electrified since the release of ChatGPT & Co. In the “good old days,” they still had to use cryptic programming languages such as C, Java or Python; today however, even laypeople are programming in natural language, i.e. prompts, with the help of chatbots. With these, even beginners can quickly get to grips with the principles of modern programming. Professionals appreciate the support of GitHub’s Copilot to solve boring standard tasks directly from the Artificial Intelligence (AI) bot or to get food for thought for new problems. This chapter shows you some of the possibilities of prompt-supported programming. Although it is already possible to execute code directly in ChatGPT using the Data Analysis Tool in ChatGPT with GPT-4o, we will first take the classic approach using a few introductory examples. We let ChatGPT generate code for us, copy it into a corresponding programming environment and test it there. It is therefore helpful to know at least the basics of the programming language used and the programming environment. | |
Разместил: Ingvar16 3-08-2024, 14:45 | Комментарии: 0 | Подробнее
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 Название: Python for Beginners: The Basics of Python and Python Programming For Beginners
Автор: Hybrid Tech
Издательство: Hybrid Tech
Год: 2022
Язык: английский
Формат: epub
Размер: 10.1 MB
Are You Looking for an Easy and Fast Way to Learn Python? Python Crash Course for Beginners is for you! One of the main advantages of learning Python is the possibility of creating a code with great readability, which saves time and resources, which facilitates its understanding and implementation. These factors and others that you will see later, have made Python become one of the most used programming languages. Python has a number of advantageous characteristics that set it apart from other programming languages. It provides dynamic memory allocation, object-oriented programming, and procedural programming. A few critical points are discussed here. Python is a relatively easy to learn programming language in comparison to other programming languages. Its syntax is straightforward and close to the English language. Instead of using the semicolon and curly brackets, the indentation specifies the code block. It is the recommended programming language for beginners. Python is capable of doing complicated things with a few lines of code. It requires only a single line of code to execute, whereas Java or C require multiple lines. Python is an interpreted language, meaning that each line of code in a Python program is executed independently. Because it is an interpreted language, debugging is straightforward and portable. Python is cross-platform, supporting Windows, Linux, UNIX, and Macintosh. As a consequence, we can state unequivocally that Python is a portable programming language. It enables programmers to create software for multiple competing platforms using a single program. | |
Разместил: Ingvar16 3-08-2024, 05:14 | Комментарии: 0 | Подробнее
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 Название: Toward Human-Level Artificial Intelligence: How Neuroscience Can Inform the Pursuit of Artificial General Intelligence
Автор: Eitan Michael Azoff
Издательство: CRC Press
Год: 2025
Страниц: 193
Язык: английский
Формат: pdf (true), epub
Размер: 14.2 MB
Is a computer simulation of a brain sufficient to make it intelligent? Do you need consciousness to have intelligence? Do you need to be alive to have consciousness? This book has a dual purpose. First, it provides a multi-disciplinary research survey across all branches of neuroscience and AI research that relate to this book’s mission of bringing AI research closer to building a human-level AI (HLAI) system. It provides an encapsulation of key ideas and concepts, and provides all the references for the reader to delve deeper; much of the survey coverage is of recent pioneering research. Second, the final part of this book brings together key concepts from the survey and makes suggestions for building HLAI. This book provides accessible explanations of numerous key concepts from neuroscience and Artificial Intelligence research. This book concludes by explaining the hypothesis that computer simulation is sufficient to take AI research further toward HLAI and that the scientific method is our means to enable that progress. This book will be of great interest to a broad audience, particularly neuroscientists and AI researchers, investors in AI projects, and lay readers looking for an accessible introduction to the intersection of neuroscience and Artificial Intelligence. | |
Разместил: Ingvar16 2-08-2024, 17:57 | Комментарии: 0 | Подробнее
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 Название: Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure
Автор: Kristen Kehrer, Caleb Kaiser
Издательство: Wiley
Год: 2024
Страниц: 240
Язык: английский
Формат: pdf, epub (true)
Размер: 10.8 MB
A much-needed guide to implementing new technology in workspaces. From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, a book that provides data scientists and managers with best practices at the intersection of management, large language models (LLMs), Machine Learning, and Data Science. This groundbreaking book will change the way that you view the pipeline of Data Science. The authors provide an introduction to modern Machine Learning, showing you how it can be viewed as a holistic, end-to-end system?not just shiny new gadget in an otherwise unchanged operational structure. By adopting a data-centric view of the world, you can begin to see unstructured data and LLMs as the foundation upon which you can build countless applications and business solutions. This book explores a whole world of decision making that hasn't been codified yet, enabling you to forge the future using emerging best practices. We intend this book to be something you can read all the way through. This is not an index of methods or a comprehensive book on Machine Learning. Our aim is to cover the challenges associated with modern-day Machine Learning with a particular focus on data versioning, experiment tracking, post-production model monitoring, and deployment to equip you with the code and examples to start leveraging best practices immediately. This book is indispensable for data professionals and business leaders looking to understand LLMs and the entire Data Science pipeline. | |
Разместил: Ingvar16 2-08-2024, 14:40 | Комментарии: 0 | Подробнее
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 Название: Algorithms Simplified: A Minimalist Approach to Problem-Solving
Автор: Rohith B V
Издательство: Facile Publishing
Год: 2024
Страниц: 146
Язык: английский
Формат: pdf
Размер: 16.5 MB
Unlock the power of algorithms with this accessible and richly illustrated guide. Whether you're a novice eager to learn the fundamentals of computer science or a professional preparing for interviews, this book provides clear explanations and practical examples to help you get an overview of problem-solving techniques. Explore key concepts, from data structures to algorithmic design, and discover how to apply them in everyday scenarios. Perfect for readers of all levels, this guide transforms complex ideas into easily digestible insights. The purpose of this book is to provide an insight into powerful ideas from the fields of Mathematics and Computer Science that can fundamentally alter the way you think about solving many problems in your daily life. Care has been taken to keep the book as succinct as possible and to use diagrams where they help explain the ideas faster or serve to supplement the text. By stripping away the extraneous, what remains are the essentials — clearly presented and richly illustrated. Hopefully, this should make for an engaging book that keeps you stimulated as you read. Moreover, this book can also serve as a pre-read for seasoned Software Engineers who are preparing for interviews or other scenarios where algorithmic thinking is required. Whether you're a veteran coder or a novice, I believe that within these pages, you'll encounter new ways to look at old concepts — refreshing your perspective and sharpening your skills. | |
Разместил: Ingvar16 2-08-2024, 14:00 | Комментарии: 0 | Подробнее
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