Название: Software Design in Python (MEAP v3)
Автор: Ronald Mak
Издательство: Manning Publications
Год: 2025
Страниц: 174
Язык: английский
Формат: pdf, epub
Размер: 14.2 MB

Design principles and patterns for building better Python software. Great Python applications take advantage of established design principles and patterns that maximize performance, maintainability, and reliability. Software Design in Python shows you how to build on your Python coding skills by mastering the practices of great software design! Following intuitive “before” and “after” examples of improved code, you’ll learn to plan and execute Python applications effectively and avoid bugs associated with unmanaged state, poorly-formed classes, inflexible functions, and more. Software Design in Python helps you build software like the pros. In clear, jargon-free language it lays out the object-oriented design principles, practices, and patterns that you need to know to build scalable and maintainable applications. Throughout, you’ll find intuitive “before” and “after” examples that show you what bad code looks like, and how to fix it with the right pattern. For programmers comfortable with Python syntax. No experience with object-oriented software design required.

Название: Biometric Technology and Authentication: Biocryptography and Cloud-Based Architecture, 2nd Edition
Автор: Ravindra Das
Издательство: CRC Press
Год: 2025
Страниц: 321
Язык: английский
Формат: pdf (true), epub (true)
Размер: 35.7 MB

This book is an update to the first edition of this book. Some of the updates include newer images and an extensive review as to how both AWS and Microsoft Azure can be used to host a biometrics in the cloud infrastructure, which will be a hot topic going into 2025 and beyond. Finally, the last chapter of this book previews some of the latest trends for biometric technology going into 2025 and beyond. Facial recognition is one of those biometric technologies which most people can associate with. For example, we all have a face, and just like the fingerprint, the face has been used to verify and identify criminals and wanted suspects, as well as terrorists. Probably one of the best examples of facial identification is the photos at the post office, as well as those facial images which are on the wanted portion of the major law enforcement websites.

Название: Machine Learning in Quantum Sciences
Автор: Anna Dawid, Julian Arnold, Borja Requena, Alexander Gresch
Издательство: Cambridge University Press
Год: 2025
Страниц: 331
Язык: английский
Формат: pdf
Размер: 72.1 MB

Artificial Intelligence is dramatically reshaping scientific research and is coming to play an essential role in scientific and technological development by enhancing and accelerating discovery across multiple fields. This book dives into the interplay between Artificial Intelligence (AI) and the quantum sciences; the outcome of a collaborative effort from world-leading experts. After presenting the key concepts and foundations of Machine Learning, a subfield of Artificial Intelligence, its applications in quantum chemistry and physics are presented in an accessible way, enabling readers to engage with emerging literature on Machine Learning in science. By examining its state-of-the-art applications, readers will discover how Machine Learning is being applied within their own field and appreciate its broader impact on science and technology. This book is accessible to undergraduates and more advanced readers from physics, chemistry, engineering, and Computer Science. Online resources include Jupyter notebooks to expand and develop upon key topics introduced in the book.

Название: MATLAB Object Oriented Programming (R2025a)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: March 2025
Страниц: 652
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Object-oriented programming is a design approach that enables you to programmatically define structures called objects that combine data (properties) together with functions that operate on that data (methods). In MATLAB, you can create objects that model the behavior of devices and systems in the real world. Those objects can then be used as building blocks in applications used to simulate and analyze complex systems.

Название: Build a Text-to-Image Generator (from Scratch): With transformers and diffusions (MEAP v3)
Автор: Mark Liu
Издательство: Manning Publications
Год: 2025
Страниц: 173
Язык: английский
Формат: pdf, epub
Размер: 15.5 MB

Build your own vision transformer and diffusion models for text-to-image generation–from scratch! Build a Text-to-Image Generator (from Scratch) takes you step-by-step through creating your own AI models that can generate images from text. You’ll explore two methods of image generation—vision transformers and diffusion models—and learn vital AI development techniques as you go. This book is designed for those who have a solid command of Python and a basic understanding of Machine Learning, especially neural networks in PyTorch. It aims to guide you through the creation of text-to-image generative models from the ground up. You’ll explore two distinct methods, learning how transformers turn images into sequences of patches, and how diffusion models refine noise into coherent images. By the time you’re done, you’ll have a deep understanding of how image generation AI works—and the satisfaction of building your text-to-image models! You're also invited to replicate the Python code and Jupyter notebooks available on the book's GitHub repository and engage with exercises in each chapter. For Machine Learning enthusiasts and data scientists with intermediate Python skills.

Название: Fight Fraud with Machine Learning (MEAP V15)
Автор: Ashish Ranjan Jha
Издательство: Manning Publications
Год: 2025
Страниц: 453
Язык: английский
Формат: epub
Размер: 60.0 MB

Financial and corporate fraud happen every day, and the fraudsters inevitably leave a digital trail. Machine Learning techniques, including the latest generation of LLM-driven AI tools, help identify the telltale signals that a crime is taking place. Fight Fraud with Machine Learning teaches you how to apply cutting edge ML to identify fraud, find the fraudsters, and possibly even catch them in the act. In this cutting-edge book you’ll develop scalable and tunable models that can spot and stop fraudulent activity in online transactions, data stores, even in digitized paper records. You’ll use Python to battle common scams like phishing and credit card fraud, along with new and emerging threats like voice spoofing and deepfakes. Examples and exercises help you practice identifying credit card fraud with logistic regression, using decision trees and random forests to identify fraudulent online transactions, and detecting fake insurance claims through gradient boosted trees. You’ll deploy neural networks to tackle Know Your Customer fraud, spot social network bots, catch deepfakes, and more! For fraud detection product managers, data scientists, and Machine Learning engineers confident with Python programming.

Название: Latency: Reduce delay in software systems (MEAP v8)
Автор: Pekka Enberg
Издательство: Manning Publications
Год: 2025
Страниц: 279
Язык: английский
Формат: pdf, epub
Размер: 18.1 MB

Practical techniques for delivering low latency software. Slow responses can kill good software. Whether it’s recovering microseconds lost while routing messages on a server or speeding up page loads that keep users waiting, finding and fixing latency can be a frustrating part of your work as a developer. This one-of-a-kind book shows you how to spot, understand, and respond to latency wherever it appears in your applications and infrastructure. Latency shows you how to troubleshoot latency issues in existing systems, and how to create low latency systems from the ground up. You’ll discover how your code runs differently on distributed systems, databases, and operating systems, and understand the common latency-causing issues in each situation. Hands-on projects help you apply what you learn. You’ll write a latency benchmark harness to measure and visualize latency; and use colocation, partitioning, and caching to reduce latency in a REST API. For software engineers with a working knowledge of backends. Examples in Rust.

Название: Build an LLM Application (from Scratch) (MEAP v2)
Автор: Hamza Farooq
Издательство: Manning Publications
Год: 2025
Страниц: 161
Язык: английский
Формат: pdf, epub
Размер: 13.1 MB

Create your own LLM applications without using a framework like LlamaIndex or LangChain. In Build an LLM Application (from Scratch), you'll learn to create applications powered by large language models (LLM) from the ground up. In this practical book, you'll build several fully functioning, real-world AI tools—including a search engine, semantic caching for RAG, and autonomous AI agents. Build an LLM Application (from Scratch) shows you just how customizable LLM applications can be when you create your own without using opinionated tools like LangChain and LlamaIndex. You'll learn the fundamentals of AI development hands-on, all without any proprietary tools. Soon you'll have the skills you need to build LLM applications, tailor them to your specific needs, and ensure you have control over your entire system. Build an LLM Application (from Scratch) is a practical and comprehensive handbook for creating custom LLM applications without relying on premade frameworks. You'll start by mastering the fundamentals of search systems and RAG. For software engineers and data scientists confident with Python and NLP basics.

Название: Topology Optimization Via L-systems and Genetic Algorithms: Bioinspired Encoding for Generative Design
Автор: Brent R. Bielefeldt, Darren J. Hartl, Marcelo H. Kobayashi
Издательство: Cambridge University Press
Год: 2025
Страниц: 303
Язык: английский
Формат: pdf
Размер: 11.3 MB

Providing a succinct overview of Lindenmayer system (L-system) topology optimization, this book focuses on the methods and theory underlying this novel bioinspired approach. Starting from basic principles, the book outlines how topology optimization can be utilized at the conceptual design stage and shows how it offers straightforward applicability to multi-objective and/or multi-physical industrial problems. Design strategies are clearly demonstrated using a host of case studies and real-world examples, and their potential challenges and solutions are discussed. Written from an optimization and design perspective, the authors both summarize the latest advances in this field and suggest potential avenues of research and development for future work. This will be the ideal resource for engineering practitioners, researchers, and students wanting to gain a new perspective on using topology optimization to improve product design. Evolutionary algorithms in general are applied to a wide range of application areas from engineering, to art, to biology, to physics, and others. In the field of structural topology optimization, these algorithms have been used to improve the exploration of complex search spaces.

Название: AI Engineering in Practice (MEAP v2)
Автор: Richard Davies
Издательство: Manning Publications
Год: 2025
Страниц: 126
Язык: английский
Формат: pdf (true)
Размер: 21.1 MB

Write, refine, organize, and optimize AI prompts that generate relevant and useful text and images! Generative AI models such as ChatGPT, Stable Diffusion, and Gemini can produce amazingly “human-like” news articles, document summaries, images, computer code, and more—if you know how to write effective prompts. This book will teach you the prompt design and authoring skills you need to get useful and relevant responses from AI models, along with advanced prompting techniques for Retrieval Augmented Generation (RAG), building autonomous agents, and data privacy. Prompt engineering is the discipline of writing instructions for AI models to generate relevant, accurate, and usable completions. AI Engineering in Practice shows you how to engineer prompts that ensure the outputs of LLMs and other generative AI models exactly match your requirements. You’ll learn how to structure your objectives, take advantage of contextual details, and even pick the right model for your task. No special skills with AI or Machine Learning required. Code examples are in Python.