Название: Quantum Algorithms: A Survey of Applications and End-to-end Complexities
Автор: Alexander M. Dalzell, Sam McArdle, Mario Berta
Издательство: Cambridge University Press
Год: 2025
Страниц: 436
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

The 1994 discovery of Shor's quantum algorithm for integer factorization―an important practical problem in the area of cryptography―demonstrated quantum computing's potential for real-world impact. Since then, researchers have worked intensively to expand the list of practical problems that quantum algorithms can solve effectively. This book surveys the fruits of this effort, covering proposed quantum algorithms for concrete problems in many application areas, including quantum chemistry, optimization, finance, and Machine Learning. For each quantum algorithm considered, the book clearly states the problem being solved and the full computational complexity of the procedure, making sure to account for the contribution from all the underlying primitive ingredients. Separately, the book provides a detailed, independent summary of the most common algorithmic primitives. It has a modular, encyclopedic format to facilitate navigation of the material and to provide a quick reference for designers of quantum algorithms and quantum computing researchers.

Название: Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications (Early Release)
Автор: Ofer Mendelevitch, Forrest Bao
Издательство: O’Reilly Media, Inc.
Год: 2025-05-07
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization's unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise's needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications. Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. Engineers and architects will learn how to tackle the challenges they'll encounter when building RAG applications at enterprise scale: ensuring high accuracy with minimal hallucinations, maintaining low-latency performance, safeguarding data privacy, and providing transparent, explainable responses among them.

Название: Hands-On LLM Serving and Optimization: Hosting LLMs at Scale (Early Release)
Автор: Chi Wang, Peiheng Hu
Издательство: O’Reilly Media, Inc.
Год: 2025-05-05
Страниц: 124
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Large language models (LLMs) are rapidly becoming the backbone of AI-driven applications. Without proper optimization, however, LLMs can be expensive to run, slow to serve, and prone to performance bottlenecks. As the demand for real-time AI applications grows, along comes Hands-On Serving and Optimizing LLM Models, a comprehensive guide to the complexities of deploying and optimizing LLMs at scale. In this hands-on book, authors Chi Wang and Peiheng Hu take a real-world approach backed by practical examples and code, and assemble essential strategies for designing robust infrastructures that are equal to the demands of modern AI applications. Whether you're building high-performance AI systems or looking to enhance your knowledge of LLM optimization, this indispensable book will serve as a pillar of your success. Although different Machine Learning (ML) frameworks, such as TensorFlow and PyTorch, provide distinct APIs and libraries, the fundamental principles of model packaging and structure remain largely similar. In practice, additional optimizations are often applied to model files to enhance performance for model serving, particularly for large language models (LLMs).

Название: Deep Learning Recommender Systems
Автор: Zhe Wang, Chao Pu, Felice Wang
Издательство: Cambridge University Press
Год: 2025
Страниц: 314
Язык: английский
Формат: pdf
Размер: 24.6 MB

Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of Deep Learning and Generative AI for recommendation models, but also focuses on the industry architecture of the recommender systems. The authors include a detailed discussion of the implementation solutions used by companies such as YouTube, Alibaba, Airbnb and Netflix, as well as the related Machine Learning framework including model serving, model training, feature storage and data stream processing. Although the book will intersperse the ­introduction of basic Machine Learning knowledge, most of the content assumes that readers have some Machine Learning background.

Название: Distributed Time-Sensitive Systems
Автор: Tanupriya Choudhury, Rahul Kumar Singh, Ravi Tomar, S. Balamurugan
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 375
Язык: английский
Формат: pdf (true), epub
Размер: 34.8 MB

The book provides invaluable insights into cutting-edge advancements across multiple sectors of Society 5.0, where contemporary concepts and interdisciplinary applications empower you to understand and engage with the transformative technologies shaping our future. Distributed Time-Sensitive Systems offers a comprehensive array of pioneering advancements across various sectors within Society 5.0, underpinned by cutting-edge technological innovations. This volume delivers an exhaustive selection of contemporary concepts, practical applications, and groundbreaking implementations that stand to enhance diverse facets of societal life. The chapters encompass detailed insights into fields such as image processing, natural language processing, computer vision, sentiment analysis, and voice and gesture recognition and feature interdisciplinary approaches spanning legal frameworks, medical systems, intelligent urban development, integrated cyber-physical systems infrastructure. Artificial Intelligence algorithms are used to automate jobs that were previously completed by humans. The main reason Artificial Intelligence (AI) is used in every aspect and industry is the intelligence it has provided through continuous learning from regularly trained models.

Название: Identity Security for Software Development: Best Practices That Every Developer Must Know
Автор: John Walsh, Uzi Ailon, Matt Barker
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 205
Язык: английский
Формат: PDF, True EPUB (Retail Copy)
Размер: 10.1 MB

Maintaining secrets, credentials, and machine identities in secure ways is an important, though often overlooked, aspect of secure software development. DevOps security often addresses vulnerabilities, but it neglects broader discussions like authentication, authorization, and access control, potentially leaving the door open for breaches. That's where an identity security strategy integrated in your code, infrastructure, and environments from day one can help. In this practical book, authors John Walsh, Uzi Ailon, and Matt Barker provide conceptual frameworks, technology overviews, and useful code snippets to bridge the gap between development, IT, and security to integrate robust identity security across apps, CI/CD pipelines, Kubernetes and cloud native, hybrid and multicloud, process automation, IoT, and more. This book is intended for developers, engineers, and dev-adjacent professionals who are involved in building, deploying, and securing software.

Название: Azure AI Fundamentals (AI-900) Study Guide: In-Depth Exam Prep and Practice
Автор: Tom Taulli
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 184
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 10.1 MB

Businesses that want to stay competitive know that AI has become a crucial technology—and so do their employees looking to grow their careers. Earning Microsoft's AI-900: Azure AI Fundamentals certification proves your proficiency with foundational AI concepts. This study guide equips you with the knowledge needed to pass the AI-900 exam, whether you're an IT professional, a data analyst, or a student looking to break into the AI field. Packed with clear explanations, real-world examples, exam tips, and practice questions, this comprehensive handbook is your go-to resource for mastering the Azure AI platform and advancing your career. Among the myriad AI certifications available, one stands out: the Azure AI Fundamentals (AI-900) exam. It doesn’t just skim the surface. It dives into key AI domains like Machine Learning (ML), Deep Learning (DL), natural language processing (NLP), computer vision, Generative AI, and Responsible AI. Of course, there is coverage of key solutions from Microsoft Azure.

Название: Mastering Machine Learning: From Basics to Advanced
Автор: Govindakumar Madhavan
Издательство: Springer
Год: 2025
Страниц: 261
Язык: английский
Формат: pdf (true), epub
Размер: 50.9 MB

This book covers all aspects of Machine Learning (ML) from concepts and math to ML programming. ML concepts and the math associated with ML are written from an application perspective, rather than from a theoretical perspective. The book presents concepts and algorithms precisely as they are used in real-world applications, ensuring a seamless and practical understanding with no gap between theory and practice. In a distinctive approach, the book's content is complemented by video lectures whose details can be found inside the book. This innovative approach offers readers a multimedia learning experience, accommodating different learning preferences, and reinforcing the material through visual and auditory means. If you are new to Artificial Intelligence and Machine Learning, this could be the first book you read and the first video course you take.

Название: Advances in Deep Learning, Volume 2
Автор: M. Arif Wani, Bisma Sultan, Sarwat Ali, Mukhtar Ahmad Sofi
Издательство: Springer
Год: 2025
Страниц: 199
Язык: английский
Формат: pdf (true), epub
Размер: 32.4 MB

This book describes novel ways of using Deep Learning to solve real-world problems. It covers advanced Deep Learning topics like neural architecture search, ensemble Deep Learning, transfer learning techniques, lightweight architectures, hybrid Deep Learning approaches, and generative adversarial networks. The book discusses the use of these advanced topics in selected applications like image classification, object detection, image steganography, protein secondary structure prediction, and gene expression data classification. Various challenges and future research directions falling under the scope of these topics are discussed.

Название: Python For Effect: Master Data Visualization and Analysis: Learn Data Pipelines, Machine Learning, Advanced Statistical Analysis and Visualization with Jupyter Notebook
Автор: Tomasz Trebacz
Издательство: Independently published
Год: October 23, 2024
Страниц: 222
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Transform your career in just a few months with Python data science mastery—even if you've never written a line of code before! Have you ever felt overwhelmed at the thought of learning data analysis in Python? Do you worry that without a computer science degree, you'll never be able to visualize and analyze data effectively? Are you eager to bring data-driven insights into your career but don’t know where to start? If you answered "yes" to these questions, you’re in good company. Countless students, professionals, and researchers face the same challenges, but those challenges are not insurmountable. You can grasp the power of Python for data science through the easy-to-follow methods you'll find in this book. Welcome to a structured roadmap towards mastering data analysis and visualization—your essential guide to developing effective Python skills in a clear, step-by-step manner. Discover the power of Python with this guide full of practical exercises, real-world examples, and up-to-date tools to support your learning journey.