eBooks de Ordenadores. Conceptos. Elementos, página 8 de 40

A Série Universitária foi desenvolvida pelo Senac São Paulo com o intuito de preparar profissionais para o mercado de trabalho. Os títulos abrangem diversas áreas, abordando desde conhecimentos teóri

Amazon Bedrock enables you to build powerful generative AI applications on AWS without managing infrastructure. This book, Building Gen AI Applications with Amazon Bedrock, is a practical guide to creating production-grade GenAI systems, from your first model invocation to applications that are secure, observable, and cost-aware. You will learn how foundation models fit into modern software engineering, and how to design solutions such as chatbots, summarization tools, image generation, and personalized experienceswithout disrupting your existing stack. As you progress, you will discover how to select and evaluate models, decide when to use prompting, RAG, or agents, and design workflows that perform reliably under real-world conditions. You will also integrate Bedrock into existing architectures, implement guardrails and evaluation loops, and scale confidently without performance or cost surprises. Working with models such as Anthropic Claude and Amazon Titan will enable you to see how disciplined engineering turns generative AI from a demo into dependable business value. Thus, by the end, you will be ready to build and operate GenAI systems on Bedrock with clarity!

This book, Ultimate Python Polars for Data Analytics, is a hands-on guide to mastering this high-performance framework. You will begin by understanding Polars architecture, execution engine, and columnar memory modelcore concepts that drive its exceptional speed and efficiency. From there, the book moves into advanced data transformations, multi-table joins, window functions, and aggregation strategies designed for large-scale datasets. You will gain deep insight into lazy execution and query planning, learning how Polars optimizes computations before execution to minimize memory usage and maximize throughput. The book also explores seamless SQL integration, enabling hybrid workflows that combine declarative querying with DataFrame operations. For more advanced use cases, you will learn how to extend Polars using Python user-defined functions and Rust-based PyO3 plugins, unlocking performance for compute-intensive workloads. Additionally, through real-world examples spanning market data analysis, machine learning workflows, and large-scale data processing, this book equips you to design, profile, test, and optimize production-grade data pipelines!

A Série Universitária foi desenvolvida pelo Senac São Paulo com o intuito de preparar profissionais para o mercado de trabalho. Os títulos abrangem diversas áreas, abordando desde conhecimentos teóri

Before the cloud and built-in terabyte hard drives, a gamers entire digital existence hung by a threadspecifically, a fragile piece of translucent grey plastic holding exactly 1 Megabyte of data. The Memory Card Crisis explores the technological bottleneck of the 32-bit era and the unparalleled psychological anxiety of the 15-block limit.When gaming transitioned from 2D sprites to massive 3D worlds like Final Fantasy VII, cartridge save batteries were no longer sufficient. Sonys solution was the external memory card. But memory was shockingly expensive. Developers had to ruthlessly compress save data, and players were forced to make agonizing choices about which cherished RPG saves to delete just to start a new game of Gran Turismo.This book delves into the hardware engineering and brutal economics of the late 90s console wars. It examines how the physical fragility of these cardsand the devastating pain of corrupted datainstilled a unique form of digital hoarding and paranoia in an entire generation.Revisit the era of manual saves and overwritten trauma. Learn how the severe constraints of early storage technology paradoxically made our virtual accomplishments feel intensely valuable and painfully real.

Ultimate Microsoft Certified Azure AI Engineer Associate (AI-102) Certification Guide is a comprehensive and practical resource for professionals preparing for the AI-102 certification and building real-world expertise with Microsoft Azure AI services. It combines certification-focused guidance with hands-on engineering practices to help readers master both the exam, and the job role of an Azure AI Engineer. The book covers all major AI-102 domains, including planning and managing Azure AI solutions, implementing generative AI, intelligent agents, computer vision, natural language processing, speech, and knowledge mining. Each chapter aligns with the latest AI-102 skills outline and reflects modern Azure AI capabilities such as Azure AI Foundry, Azure OpenAI, agent frameworks, and Retrieval-Augmented Generation (RAG), ensuring that readers learn skills that are current and industry-relevant. Beyond exam preparation, this guide emphasizes practical implementation and enterprise-ready architectures. Readers will learn how to design, deploy, secure, monitor, and govern AI solutions on Azure using best practices and Responsible AI principles.

Uma missão. Um mundo congelado. Um segredo enterrado sob quilômetros de gelo. Em uma das luas mais inóspitas de Júpiter, a humanidade dá seu passo mais ousado: colonizar Europa. Liderada pelo Capitão

"IAÊ, ROBÔ? – Inteligência Artificial para Humanos de Verdade" é um convite para conversar sobre inteligência artificial como se fosse um papo de sala de aula, café ou sofá, sem jargões nem medo desn

Em um mundo de complexidade e velocidade tecnológicas, a documentação é um ativo estratégico que impulsiona produtos e eleva a experiência do usuário. Este livro é o seu guia prático para dominar a a

Esta obra desvela como as tramas da Inteligência Artificial e do Big Data transcendem o estatuto de meras ferramentas tecnológicas para se constituírem como forças motrizes que reconfiguram as relaçõ

Generative AI is rapidly transforming how organizations create content, build intelligent systems, and automate complex tasks. Understanding how these models workand how to build themis now a career-defining skill for developers and data professionals. Mastering Generative AI Systems Engineering begins with the core foundations of generative AI. You will explore the essential mathematics, latent spaces, probability concepts, and neural network principles behind VAEs and GANs. The book then guides you through advanced systems such as CycleGANs, StyleGANs, and cutting-edge Diffusion Modelsthe engines behind todays most powerful generative tools.

Art as a compass for democracy in times of technological changeCulture Codes Democracy is a timely publication exploring how art and cultural critique can help societies rethink their relationship to new technologies. Drawing on the expertise of leading European cultural institutions, it highlights the role of artistic practice in shaping democratic futures. The book distinguishes itself through: Three thematic sectionsMediated Realities, Speculative Governance, and Hybrid Entitieseach showing how art engages with technology and democracy Contributions from pioneering cultural organisations, offering real-world case studies and insights A forward-looking perspective, envisioning how art can guide Europe towards digital sovereignty Richly illustrated and thought-provoking, this critical reader is essential for anyone interested in the intersection of art, politics, and technology in shaping tomorrows democracy.

Art as a compass for democracy in times of technological changeCulture Codes Democracy is a timely publication exploring how art and cultural critique can help societies rethink their relationship to new technologies. Drawing on the expertise of leading European cultural institutions, it highlights the role of artistic practice in shaping democratic futures. The book distinguishes itself through: Three thematic sectionsMediated Realities, Speculative Governance, and Hybrid Entitieseach showing how art engages with technology and democracy Contributions from pioneering cultural organisations, offering real-world case studies and insights A forward-looking perspective, envisioning how art can guide Europe towards digital sovereignty Richly illustrated and thought-provoking, this critical reader is essential for anyone interested in the intersection of art, politics, and technology in shaping tomorrows democracy.

In recent years, Natural Language Processing (NLP) has gone through a radical breakthrough due to the success of Large Language Models (LLMs). These models have demonstrated that an unsupervised inductive approach, based on processing large amounts of raw data, can achieve extraordinary accuracy rates in many NLP-related tasks. This progress seems to have reduced the role of theoretical linguistics in computational approaches to linguistic analysis. For instance, metalinguistic annotation, a central element in supervised learning, which traditionally relies on established linguistic theories, has lost its core place in eveloping trained models for different NLP tasks.In this context, a closer dialogue between theoretical and computational linguistics becomes essential to integrate theoretical and practical perspectives, bridging the gap between these two approaches to language study. This is particularly important for both the practical implementation of linguistic theories in computational models and the theoretical interpretation of results produced by NLP systems. This special issue of the Italian Journal of Computational Linguistics aims to bridge this gap by exploring the emerging synergies between theoretical linguistics and computational linguistics and the implications these have for the future of the two approaches.

No universo da tecnologia, aprendemos desde cedo a valorizar o que pode ser medido: linhas de código, entregas, certificações, frameworks dominados. Mas, à medida que avançamos na carreira, uma verda

The AWS Certified Cloud Practitioner (CLF-C02) Exam is your gateway to todays cloud-first worldand Ultimate AWS Certified Cloud Practitioner (CLF-C02) Certification Guide (2nd Edition) is your complete roadmap for clearing it with confidence. Whether you are starting from scratch or strengthening your IT foundation, this book prepares you to succeed in the worlds most recognized cloud certification. You begin with a solid grounding in cloud computing fundamentals, and gradually advance into AWS global infrastructure, compute, storage, databases, networking, migration, security, pricing, governance, and application integration. Each chapter simplifies complex topics with illustrations, real-world business examples, hands-on walkthroughs, and structured explanations aligned with the CLF-C02 exam blueprint. Practice questions, exam tips, and review sections help you reinforce learning and identify the weak areas, ensuring that you are always exam-ready!

From Prototype to Production-Grade LLM Systems. Key Features Get a free one-month digital subscription to www.avaskillshelf.com End-to-end coverage of modern LLMOps, from fundamentals to production deployment and monitoring. Hands-on prompt management, LLM chaining, RAG, and building AI agent examples. Practical insights into LLMOps observability and analytics using LangFuse, Fine-tuning, and securing LLMs in real-world environments. Book Description Large Language Models (LLMs) are transforming how organizations build intelligent applications, yet taking them from experimentation to reliable production systems requires a new disciplineLLMOps. Ultimate LLMOps for LLM Engineering offers a comprehensive journey through the principles, tools, and workflows essential for operationalizing LLMs with confidence and efficiency. It begins by demystifying LLM fundamentals, model behavior, and the evolving landscape of MLOps, giving readers the context needed to design scalable AI systems. The core chapters dive into hands-on techniques that drive real-world LLM applications, including prompt management, LLM chaining, and Retrieval Augmented Generation (RAG). You will explore how to design LLM pipelines, build effective agentic systems, and orchestrate complex multi-step reasoning workflows. Each concept is supported with practical insights applicable across industries and platforms. Moving deeper into production, the book equips you with strategies for deploying, serving, and monitoring LLMs in modern cloud and hybrid environments. You will learn how to fine-tune and adapt models, enforce security and privacy requirements, and detect model drift in dynamic data ecosystems. What you will learn Understand LLM foundations and how they integrate with the MLOps ecosystem. Build robust prompt strategies, LLM chains, and RAG pipelines for complex workflows. Design and deploy AI agents and autonomous LLM-driven systems. Serve, scale, monitor, and evaluate LLMs across cloud and on-prem environments. Apply fine-tuning, optimization, and adaptation techniques to improve model performance. Implement best practices for LLM security, privacy, governance, and drift detection. Who is This Book For? This book is tailored for GenAI Developers, Machine Learning Engineers, and Data Scientists who want to build, deploy, and manage LLM-powered systems at scale. Readers should have foundational knowledge of AI/ML concepts, basic NLP familiarity, and experience with Python programming to fully benefit from the content. Table of Contents 1. Unveiling the World of Large Language Models 2. Getting Started with MLOps 3. Mastering Prompt Management for LLMs 4. The Power of LLM Chaining 5. Retrieval Augmentation Generation 6. AI Agents and Autonomous Systems 7. Deploying Large Language Models 8. Model Monitoring and Evaluation 9. LLM Fine-tuning and Adaptation 10. LLM Security, Privacy, and Drift Detection 11. LLMOps with Langfuse 12. Real-World Examples and Emerging Trends Index

Em uma era de transformações sem precedentes, na qual a inteligência humana encontra sua mais intrigante parceria: a inteligência artificial. Esta aliança, tão promissora quanto desafiadora, é o moto

De Newton à Inteligência Artificial é uma jornada intelectual e sensível pela história do pensamento científico — da maçã que caiu sobre Newton aos algoritmos que hoje aprendem conosco. Misturando fí

A migração para a computação em nuvem trouxe enormes vantagens, mas também uma responsabilidade compartilhada: enfrentar o crescente impacto ambiental dos data centers. Esse é um dos grandes desafios