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Название: Artificial Intelligence (AI) in Forensic Sciences
Автор: Zeno Geradts, Katrin Franke
Издательство: Wiley
Год: 2024
Страниц: 258
Язык: английский
Формат: pdf (true)
Размер: 13.0 MB

Foundational text for teaching and learning within the field of Artificial Intelligence (AI) as it applies to forensic science. Artificial Intelligence (AI) in Forensic Sciences presents an overview of the state-of-the-art applications of Artificial Intelligence within Forensic Science, covering issues with validation and new crimes that use AI; issues with triage, preselection, identification, argumentation and explain ability; demonstrating uses of AI in forensic science; and providing discussions on bias when using AI. The text discusses the challenges for the legal presentation of AI data and interpretation and offers solutions to this problem while addressing broader practical and emerging issues in a growing area of interest in forensics. It builds on key developing areas of focus in academic and government research, providing an authoritative and well-researched perspective. Providing comprehensive coverage of the subject, Artificial Intelligence (AI) in Forensic Sciences is an essential advanced text for final year undergraduates and master’s students in forensic science, as well as universities teaching forensics (police, IT security, digital science and engineering), forensic product vendors and governmental and cyber security agencies.

Название: The Rise of AI Agents: Integrating AI, Blockchain Technologies, and Quantum Computing (Final Release)
Автор: Petar Radanliev
Издательство: Addison-Wesley/Pearson Education
Год: 2025
Страниц: 366
Язык: английский
Формат: pdf, epub
Размер: 10.5 MB

In The Rise of AI Agents, you'll explore how Artificial Intelligence (AI), Blockchain, and Quantum Computing are revolutionizing the world. This book goes beyond theory, offering a practical and insightful journey into the possibilities and challenges of these groundbreaking technologies. Drawing from years of experience in AI, Cybersecurity, and Quantum Computing, Dr. Petar Radanliev aims to bridge academic research with real-world application. Whether you're a professional looking to apply cutting-edge solutions or a student eager to stay ahead of the curve, this book will provide valuable insights into the ever-evolving tech landscape. The primary aim of this book is to provide a thorough and accessible exploration of the development and implications of AI agents, particularly in relation to their integration with Quantum Computing and Blockchain technologies. The focus is on how AI agents, enhanced by advanced reinforcement learning techniques and secured through post-quantum cryptographic methods, can be responsibly developed and deployed in a world approaching Artificial General Intelligence (AGI) and the potential onset of a technological singularity.

Название: Effective Pandas 2: Opinionated Patterns for Data Manipulation
Автор: Matt Harrison
Издательство: MetaSnake
Серия: Treading on Python
Год: 2024
Страниц: 594
Язык: английский
Формат: epub
Размер: 45.1 MB

Effective Pandas 2 is an update of the best-selling Effective Pandas, aimed at the Pandas 2 library. It is a pivotal resource for anyone looking to master the art of data handling with Pandas, the popular Python data analysis library. This book is a treasure trove of knowledge, distilling years of expertise into a format that's both accessible and engaging. Whether you're a beginner eager to dive into data science or a seasoned professional seeking to refine your skills, this book is tailored for you. 'Effective Pandas 2' cuts through the clutter of online resources, offering a streamlined path to proficiency. Say goodbye to countless hours spent trawling through blogs, mailing lists, and user groups; this book is your one-stop guide to writing robust and efficient Pandas code. Pandas is a data analysis library for Python that has exploded in popularity over the past years. This book assumes a basic knowledge of Python.

Название: Конформное прогнозирование в Python
Автор: Манохин В.
Издательство: дмк
Год: 2024
Формат: PDF
Страниц: 308
Размер: 41 Mb
Язык: Русский

Данная книга предлагает углубленное изучение конформного прогнозирования — новейшего подхода, позволяющего управлять неопределенностью в различных задачах машинного обучения. Вы узнаете, как конформное прогнозирование создает точно откалиброванные прогнозные интервалы для регрессии и решает задачи прогнозирования временных рядов и несбалансированных данных. Практические примеры на Python, а также использование реальных наборов данных, экспертных рекомендаций и открытых библиотек обеспечат вам глубокое понимание этого подхода.

Название: Линейное программирование
Автор: Палий И.А.
Издательство: Москва
Год: 2008
Cтраниц: 256
Формат: pdf
Размер: 11 мб
Язык: русский

Рассматриваются следующие темы: построение математических моделей задач линейного программирования, графическое решение задач с двумя переменными, симплекс-метод, теория двойственности, метод потенциалов решения транспортной задачи, паросочетания, потоки в сетях, венгерский алгоритм решения задач о назначениях и транспортной задачи. Изложение теоретического материала сопровождается большим количеством подробно разобранных примеров решения задач, что облегчает усвоение доказательств теорем и работы алгоритмов.

Название: An Introduction to Partial Differential Equations with MATLAB, 3rd Edition
Автор: Matthew P. Coleman, Vladislav Bukshtynov
Издательство: CRC Press
Год: 2025
Страниц: 510
Язык: английский
Формат: pdf (true)
Размер: 110.8 MB

The first two editions of An Introduction to Partial Differential Equations with MATLAB gained popularity among instructors and students at various universities throughout the world. Plain mathematical language is used in a friendly manner to provide a basic introduction to partial differential equations (PDEs). Suitable for a one- or two-semester introduction to PDEs and Fourier series, the book strives to provide physical, mathematical, and historical motivation for each topic. Equations are studied based on method of solution, rather than on type of equation. This third edition of this popular textbook updates the structure of the book by increasing the role of the computational portion, compared to previous editions. However, by far the most significant change in this third edition is the addition of a number of chapters dedicated to the use of MATLAB, not only for the graphical visualization of functions/solutions, but, much more importantly, for the numerical solution of PDEs. As familiarity with MATLAB is not assumed, Chapter 3 serves as an introduction to the visualization of functions, the use of MATLAB’s Symbolic Math Toolbox for solving ODEs, and a few MATLAB built- in functions.

Название: Algorithmic Trading with Python: Fast-Track Your Trading Strategy: A comprehensive Guide
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 435
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Transform the way you approach trading withAlgorithmic Trading with Python: Fast-Track Your Trading Strategy, a comprehensive guide to building and implementing automated trading systems. This book is designed for traders, data enthusiasts, and finance professionals looking to harness Python’s power to develop robust, data-driven strategies. Explore key concepts such as backtesting, Machine Learning integration, technical analysis, and portfolio optimization. With clear, step-by-step tutorials and practical examples, you’ll learn how to design, code, and refine algorithms tailored to your trading goals. Whether you’re a beginner or an experienced trader, this guide equips you with the skills to automate decision-making, reduce emotional bias, and enhance your trading performance. Dive into the future of trading and gain the competitive edge you need with this essential resource.

Название: Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications
Автор: Harsh Bhasin
Издательство: Apress
Год: 2024
Страниц: 373
Язык: английский
Формат: pdf
Размер: 23.1 MB

This book discusses Deep Learning, from its fundamental principles to its practical applications, with hands-on exercises and coding. It focuses on Deep Learning (DL) techniques and shows how to apply them across a wide range of practical scenarios. The book begins with an introduction to the core concepts of DL. It delves into topics such as transfer learning, multi-task learning, and end-to-end learning, providing insights into various DL models and their real-world applications. Next, it covers neural networks, progressing from single-layer perceptrons to multi-layer perceptrons, and solving the complexities of backpropagation and gradient descent. It explains optimizing model performance through effective techniques, addressing key considerations such as hyperparameters, bias, variance, and data division. It also covers convolutional neural networks (CNNs) through two comprehensive chapters, covering the architecture, components, and significance of kernels implementing well-known CNN models such as AlexNet and LeNet. It concludes with exploring autoencoders and generative models such as Hopfield Networks and Boltzmann Machines, applying these techniques to a diverse set of practical applications. For Machine Learning engineers, data scientists, AI practitioners, software developers, and engineers interested in Deep Learning.

Название: Generative AI Apps with Langchain and Python: A Project-Based Approach to Building Real-World LLM Apps
Автор: Rabi Jay
Издательство: Apress
Год: 2024
Страниц: 530
Язык: английский
Формат: pdf (true), epub (true)
Размер: 12.8 MB

Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain's components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level. Projects throughout the book offer practical LLM solutions for common business issues, such as information overload, internal knowledge access, and enhanced customer communication. Meanwhile, you'll learn how to optimize workflows, enhance embedding efficiency, select between vector stores, and other optimizations relevant to experienced AI users. The emphasis on real-world applications and practical examples will enable you to customize your own projects to address pain points across various industries. Developing LangChain-based Generative AI LLM Apps with Python employs a focused toolkit (LangChain, Pinecone, and Streamlit LLM integration) to practically showcase how Python developers can leverage existing skills to build Generative AI solutions. By addressing tangible challenges, you'll learn-by-be doing, enhancing your career possibilities in today's rapidly evolving landscape.

Название: Programming Language Fundamentals: A Metalanguage Approach in ELM
Автор: Martin Erwig
Издательство: Wiley
Год: 2024
Страниц: 227
Язык: английский
Формат: pdf (true)
Размер: 16.6 MB

Understand the key principles of programming languages. Programming languages are the tools needed to let algorithms run on electronic computers. As they form the linguistic interface between humans and machines, the understanding of programming languages is essential for being able to control machine behavior. Programming Language Fundamentals offers a precise, comprehensive introduction to the principles that are the basis of most programming languages. Explaining both functional programming and logic programming, it presents a broad perspective on programming and constitutes an indispensable introduction to the foundations of programming languages. Programming Language Fundamentals is ideal for undergraduate students in Computer Science, as well as researchers and practitioners working with programming languages who are looking to broaden their understanding of the field.