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 Название: Python Simplified: Learn Programming Through Practical Examples
Автор: Abdelazeem Emam
Издательство: Independently published
Год: 2024
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB
"Python Programming: A Simplified Guide for Beginners" is your ultimate beginner's guide to learning Python. With practical examples and step-by-step instructions, this book teaches you to code, build projects, and understand Python through hands-on exercises. Ideal for anyone new to programming! Unlock the world of programming with "Python Programming: A Simplified Guide for Beginners." This beginner-friendly eBook is designed to help you master Python, the most popular programming language, through real-world examples and hands-on practice. you'll learn everything from setting up Python to building interactive programs, creating functions, working with files, and exploring object-oriented programming. Whether you're a student, a professional, or someone simply curious about coding, this book will guide you through each step with clear explanations and practical exercises. Get ready to jumpstart your coding journey and apply your newfound skills to real-world projects, all while mastering the art of Python programming. No prior programming experience required! | |
Разместил: Ingvar16 15-12-2024, 05:40 | Комментарии: 0 | Подробнее
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 Название: Improving Operating Leverage Using Hyperautomation: Unlock Strategic Advantages Across Banking and Non-Banking Financial Institutions
Автор: Kannan Subramanian R
Издательство: Apress
Год: 2024
Страниц: 559
Язык: английский
Формат: pdf (true), epub
Размер: 89.0 MB
Improving operating leverage is about operational resilience, structural operational efficiency, and sustainable revenue growth. Activity-based enterprise non-interest cost management is an important component of enterprise risk adjusted return management methodology. This book builds on the author Kannan Subramanian’s earlier book, Event- and Data-Centric Enterprise Risk-Adjusted Return Management, delving in depth into enterprise non-interest operating cost management and operating leverage. Operating Leverage is about managing a bank’s capabilities and its capacity to deliver its products and services efficiently. It is not limited to managing operational costs but includes the operational support for the growth of business and for improving profitability. Hyperautomation uses enterprise process automation technology and advanced analytics such as Machine Learning, to provide a layer of intelligence in process orchestration. A banking process has a set of business activities, a deliverable, and starting and ending points. An activity can be either manual or automatic and can be classified as belonging to a front, middle, or back office function. Hyperautomation uses a low-code application platform to facilitate the implementation of ABC or TDABC. Business activity configuration, process modeling, and intelligent processing are its strengths. | |
Разместил: Ingvar16 15-12-2024, 03:44 | Комментарии: 0 | Подробнее
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 Название: Artificial Intelligence of Neuromorphic Systems: From Digital, Analogue, Quantum, and Brain-Oriented Computing to Hybrid AI
Автор: Klaus Mainzer
Издательство: World Scientific Publishing Company
Год: 2024
Страниц: 436
Язык: английский
Формат: pdf (true)
Размер: 31.7 MB
This book argues for neuromorphic systems as a technology of the future, which are oriented towards the energy efficiency of natural brains. Energy efficiency is a dramatic claim in times of environmental and climate challenges which should consider the sustainability goals of the United Nations (UN). Mathematically, neuromorphic computing is connected to analogue ('real') computing, which theoretically overcomes the limits of digital Turing computability. Therefore, the book also considers material sciences and engineering sciences which start to realize neuromorphic computing in hardware. Other mathematical formalisms such as quantum mechanics also open up new solutions (e.g., quantum computing) beyond the limits of digital Turing computability. These research fields are no longer merely of theoretical interest, they promise increasing innovation power of market interest. Nevertheless, neuromorphic computing is connected with deep logical, mathematical, and epistemic questions. Does it open new avenues to Artificial General Intelligence (AGI)? All these tendencies of research and innovation demonstrate that we need more integrated research in the foundations of logic, mathematics, physics, engineering sciences, cognitive science, and philosophy. The book is a plea for this kind of research. | |
Разместил: Ingvar16 14-12-2024, 14:46 | Комментарии: 0 | Подробнее
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 Название: Программирование на C# 5.0
Автор: Гриффитс Й.
Издательство: М.: Эксмо
Год: 2014
Cтраниц: 1135
Формат: pdf
Размер: 103 мб
Язык: русский
Исчерпывающее комплексное руководство по С# 5.0 и .NET 4.5. Большое количество примеров поможет при работе с такими особенностями С#-кода, как обобщения, динамическая типизация и новые возможности асинхронного программирования. Кроме того, вы узнаете обо всех тонкостях работы с XAML, ASP.NET, LINQ и другими инструментами платформы .NET. | |
Разместил: rivasss 14-12-2024, 08:53 | Комментарии: 0 | Подробнее
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 Название: Introduction to Data Governance for Machine Learning Systems: Fundamental Principles, Critical Practices, and Future Trends
Автор: Aditya Nandan Prasad
Издательство: Apress
Год: 2024
Страниц: 731
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
This book is the first comprehensive guide to the intersection of data governance and Machine Learning (ML) projects. As ML applications proliferate, the quality, reliability, and ethical use of data is central to their success, which gives ML data governance unprecedented significance. However, adapting data governance principles to ML systems presents unique, complex challenges. Author Aditya Nandan Prasad equips you with the knowledge and tools needed to navigate this dynamic landscape effectively. Through this guide, you will learn to implement robust and responsible data governance practices, ensuring the development of sustainable, ethical, and future-proofed AI applications. For data professionals, including data scientists, data engineers, AI developers, or data governance specialists, as well as managers or decision makers looking to implement or improve data governance practices for Machine Learning projects. | |
Разместил: Ingvar16 14-12-2024, 05:07 | Комментарии: 0 | Подробнее
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 Название: The Art of Mac Malware, Volume 2: Detecting Malicious Software
Автор: Patrick Wardle
Издательство: No Starch Press
Год: 2025
Страниц: 376
Язык: английский
Формат: pdf, epub
Размер: 11.4 MB
As renowned Mac security expert Patrick Wardle notes in The Art of Mac Malware, Volume 2, the substantial and growing number of Mac users, both personal and enterprise, has created a compelling incentive for malware authors to ever more frequently target macOS systems. The only effective way to counter these constantly evolving and increasingly sophisticated threats is through learning and applying robust heuristic-based detection techniques. To that end, Wardle draws upon decades of experience to guide you through the programmatic implementation of such detection techniques. By exploring how to leverage macOS’s security-centric frameworks (both public and private), diving into key elements of behavioral-based detection, and highlighting relevant examples of real-life malware, Wardle teaches and underscores the efficacy of these powerful approaches. | |
Разместил: Ingvar16 14-12-2024, 04:16 | Комментарии: 0 | Подробнее
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 Название: AI Engineering: Building Applications with Foundation Models
Автор: Chip Huyen
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 535
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 59.2 MB
Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models. The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach. AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications. | |
Разместил: Ingvar16 13-12-2024, 21:47 | Комментарии: 0 | Подробнее
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 Название: Understanding Artificial Intelligence: Fundamentals, Use Cases and Methods for a Corporate AI Journey
Автор: Ralf T. Kreutzer
Издательство: Springer
Год: 2024
Страниц: 491
Язык: английский
Формат: pdf (true)
Размер: 19.7 MB
This book on Artificial Intelligence (AI) explores its transformative potential for individuals and businesses. It covers AI basics and its applications across various industries, presenting AI as a foundational technology that will impact all aspects of life and the economy. The author emphasizes the need for responsible AI usage and introduces the concept of the "AI Journey" for businesses to leverage AI's potential. The second edition is updated with recent developments, including large language models like Aleph Alpha and ChatGPT, Generative AI, affective computing, and ethical considerations. It also discusses open-source solutions, legal frameworks, and practical use cases. Recommended for leaders, decision-makers, students, professors, and anyone interested in understanding AI's future impact. | |
Разместил: Ingvar16 13-12-2024, 20:42 | Комментарии: 0 | Подробнее
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 Название: Data Structures: Abstraction and Design Using Java, 4th Edition
Автор: Elliot B. Koffman, Paul A.T. Wolfgang
Издательство: Wiley
Год: 2021
Страниц: 691
Язык: английский
Формат: pdf (true)
Размер: 69.0 MB
Data Structures: Abstraction and Design Using Java offers a coherent and well-balanced presentation of data structure implementation and data structure applications with a strong emphasis on problem solving and software design. Step-by-step, the authors introduce each new data structure as an abstract data type (ADT), explain its underlying theory and computational complexity, provide its specification in the form of a Java interface, and demonstrate its implementation as one or more Java classes. Case studies using the data structures covered in the chapter show complete and detailed solutions to real-world problems, while a variety of software design tools are discussed to help students “Think, then code.” The book supplements its rigorous coverage of basic data structures and algorithms with chapters on sets and maps, balanced binary search trees, graphs, event-oriented programming, testing and debugging, and other key topics. The fourth edition of Data Structures: Abstraction and Design Using Java enables students to measure their progress after completing each section through interactive questions, quick-check questions, and review questions. | |
Разместил: Ingvar16 13-12-2024, 15:59 | Комментарии: 0 | Подробнее
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 Название: Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective
Автор: Avishek Nag
Издательство: Apress
Год: 2024
Страниц: 384
Язык: английский
Формат: pdf
Размер: 16.0 MB
Journey through the world of stochastic finance from learning theory, underlying models, and derivations of financial models (stocks, options, portfolios) to the almost production-ready Python components under cover of stochastic finance. This book will show you the techniques to estimate potential financial outcomes using stochastic processes implemented with Python. The book starts by reviewing financial concepts, such as analyzing different asset types like stocks, options, and portfolios. It then delves into the crux of stochastic finance, providing a glimpse into the probabilistic nature of financial markets. You'll look closely at probability theory, random variables, Monte Carlo simulation, and stochastic processes to cover the prerequisites from the applied perspective. Then explore random walks and Brownian motion, essential in understanding financial market dynamics. You'll get a glimpse of two vital modelling tools used throughout the book - stochastic calculus and stochastic differential equations (SDE). Advanced topics like modeling jump processes and estimating their parameters by Fourier-transform-based density recovery methods can be intriguing to those interested in full-numerical solutions of probability models. For data scientists, quantitative researchers and practitioners, software engineers and AI architects interested in quantitative finance. | |
Разместил: Ingvar16 13-12-2024, 15:40 | Комментарии: 0 | Подробнее
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