Novedades del último mes en eBooks de Ordenadores. Conceptos. Elementos

En plena revolución de la inteligencia artificial, la humanidad comienza a redescubrir una verdad incómoda y fascinante: la mente neurodivergente no es una desviación de la norma, sino una fuente inagotable de creatividad, velocidad cognitiva y pensamiento disruptivo que el mundo empieza a necesitar con urgencia.Mentes aceleradas propone una mirada renovada sobre el TDAH (Trastorno por Deficit de Atencion con Hiperactividad), no como un trastorno, sino como un estilo cerebral singular, capaz de detectar patrones, generar ideas originales y adaptarse a entornos cambiantes con una agilidad que las maquinas apenas logran imitar.Con base en la neurociencia contemporanea, en casos reales y en una profunda reflexion sobre el impacto cultural de la IA, el doctor Javier Pou Ucha revela como muchas de las cualidades historicamente señaladas como "problematicas" atencion no lineal, impulsividad creativa, busqueda constante de novedad, sensibilidad emocional se transforman hoy en ventajas estrategicas en una era cada vez mas digital.Este libro es para quienes vislumbran que pensar distinto es una forma de inteligencia, y tambien para aquellos que creen que el futuro sera de las mentes capaces de cuestionar, romper el molde y atreverse a imaginar nuevas posibilidades.

La integración de las Tecnologías de la Información y la Comunicación (TIC) y más particularmente Inteligencia Artificial (IA) y los Sistemas Expertos (SE) en el contexto educativo, incorporan un importante tema de accion y reflexion para los profesionales de la educacion. De hecho, los tomadores de decisiones, cientificos y docentes en el campo cuestionan el lugar que ocupa la tecnologia digital y los medios a implementar para integrarla con exito, lo que a veces resulta sumamente complejo. Nuevas tecnologias digitales estan apareciendo cada vez mas rapidamente en las instituciones educativas. Este es particularmente el caso de la IA, integrada masivamente en las escuelas de America del Norte y Europa. El uso e integracion de esta herramienta, relativamente reciente en el ambito escolar, exige una reflexion critica con relacion a las practicas tecnopedagogicas de los docentes y de sus procesos de integracion inherentes.Los autores de este libro nos presentan sus investigaciones elaboradas sobre el tema de los SE y su relacion con la IA. Por otro lado, utilizan como via a los SE para concretar esta integracion. Las investigaciones de estos estudiosos demuestran que los procesos de integracion se construyen gradualmente y que un analisis cuidadoso de los mismos permitiria comprender las diversas realidades tecnopedagogicas que actuan en las instituciones educativas.

¿Revolución sin precedentes o nube de humo digital? La inteligencia artificial está causando exageraciones, entusiasmos desmedidos y miedos descontrolados. Ya era hora de que alguien se sentara a explicarla con rigor, curiosidad y sentido del humor. En este libro, el experto Nicolas Martorell con la mirada vanguardista que le da su formacion como biologo y programador nos invita a sumergirnos en esa incertidumbre y a responder algunas preguntas: ¿que significa que una maquina piense? ¿Son inteligentes o solo imitan convincentemente la inteligencia? ¿Puede una red neuronal sentir tristeza, experimentar placer, conmoverse con un poema, o solo simula hacerlo? ¿Como las entrenamos? Pero lo mas desafiante es que nos propone un ejercicio de imaginacion: ¿es realmente posible que las maquinas se independicen y aprendan cosas que no controlamos del todo? ¿Como cambiaran el trabajo, la democracia, el dinero y los vinculos en este tsunami tecnologico? Como decia Arthur C. Clarke, "cualquier tecnologia suficientemente avanzada es indistinguible de la magia". Y tal vez lo que hoy llamamos inteligencia artificial no sea mas que eso, un nuevo tipo de magia que todavia no entendemos del todo. ¡Que el futuro no nos encuentre desinformados!

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

Data visualization turns complex data into insight, alignment, and actionand it is a core skill for modern data, analytics, and engineering roles. Prompting Python Data Visualization shows you how to design clear, trustworthy visuals in Python, while accelerating the entire workflow by translating natural-language intent into working visualization code with AI. You begin with the foundations of visual thinking and data handling, then build strong technical skills using Matplotlib and Seaborn. The book takes you from basic plots to advanced layouts, styling, annotations, time-series analysis, and publication-ready exports, grounded in real-world analytics and reporting use cases. As you progress, you learn prompt engineering techniques to generate charts with AI, refine and debug AI-produced code, and automate repetitive visualization tasks using reusable prompt templates. By the end of the book, you will produce professional visuals for reports, notebooks, and dashboards with speed, consistency, and confidence.