Resultados narrador por "Maha Amir" en Todas las categorias

As the digital world becomes more connected and data privacy concerns grow, traditional centralized machine learning models face serious limitations. Federated Learning presents a revolutionary approach—enabling intelligent agents to learn collaboratively across decentralized devices while keeping sensitive data where it originates. This book explores the architecture, techniques, and transformative potential of federated learning in environments that are dynamic, distributed, and data-rich.

As artificial intelligence evolves beyond narrow task execution, a new frontier is emerging— Building Agency AI, where intelligent systems are designed to act with autonomy, adapt to uncertainty, and pursue goals independently. This book explores the foundations, architectures, and real-world applications of agentic AI systems, from personal digital assistants and autonomous vehicles to intelligent enterprise agents and AI-driven scientific discovery.

As businesses increasingly rely on cloud technologies, traditional application architectures struggle to keep pace with demands for scalability, agility, and resilience. Cloud-Native Architecture is your essential guide to designing and building modern applications optimized for the cloud environment.

In today’s fast-paced digital world, maximizing productivity isn’t just about working harder—it’s about working smarter. AI-Powered Productivity Tools is your essential guide to understanding and leveraging artificial intelligence to streamline tasks, boost efficiency, and transform how you work and collaborate. This book demystifies the rapidly evolving landscape of AI-driven tools designed to handle repetitive tasks, optimize decision-making, enhance communication, and unlock creativity.

Artificial Intelligence is no longer confined to data science and automation—it’s now a powerful ally in the creative process. AI in Creative Workflows explores how cutting-edge AI tools are reshaping the way artists, designers, writers, and content creators conceptualize, produce, and refine their work.

In the age of artificial intelligence, machine learning, and data-driven innovation, the quality and quantity of data have become critical to success. Yet real-world data is often incomplete, biased, sensitive, or scarce. Data Generation explores how synthetic, real, and simulated data can be strategically created and used to overcome these limitations—fueling smarter systems, scalable solutions, and more ethical outcomes.

In today’s fast-paced digital world, success hinges on more than just writing code—it’s about creating a culture that brings development and operations together with shared goals, trust, and rapid delivery. DevOps Culture offers a comprehensive guide to transforming your organization into a high-performing, collaborative, and resilient software powerhouse. This book goes beyond tools and automation to explore the mindset, values, and practices that define successful DevOps adoption. You'll discover how to break down silos, improve feedback loops, and foster continuous learning across teams.

In a world increasingly shaped by intelligent machines, Human-AI Communication explores how humans and artificial intelligence can work together—not in competition, but in partnership. This insightful guide demystifies the evolving relationship between human creativity, intuition, and empathy with machine precision, scale, and speed. Whether you are a business leader, technologist, designer, or curious learner, this book offers practical frameworks, real-world case studies, and ethical considerations to help you navigate the future of collaborative intelligence.

In a world where artificial intelligence is rapidly shaping economies, societies, and daily life, ensuring that AI systems are developed and deployed responsibly is paramount. AI Governance offers an in-depth exploration of the ethical, legal, and strategic dimensions that underpin effective oversight of AI technologies. This book unpacks the multifaceted challenges of governing AI—from bias and privacy concerns to regulatory fragmentation and global coordination.

Smarter. Faster. Closer to the action. The future of intelligent technology isn't in distant data centers — it's at the edge. From self-driving cars and smart cameras to industrial automation and personalized healthcare, Edge AI is powering a new generation of ultra-responsive, real-time systems. In this action-oriented guide, you’ll discover how Edge AI and edge computing work together to deliver lightning-fast insights, reduced latency, and privacy-first intelligence — all without relying on the cloud.

The Internet of Things (IoT) is transforming our world—connecting physical devices, enabling real-time decision-making, and opening new possibilities across industries. Whether you're an aspiring engineer, tech enthusiast, or business professional, Introduction to Internet of Things is your gateway to understanding how IoT works and how to build intelligent, connected solutions from the ground up. This beginner-friendly guide breaks down the complex ecosystem of IoT into accessible concepts and hands-on knowledge.

In today’s fast-moving AI-powered world, accuracy isn’t enough. Whether you’re building models for healthcare, finance, retail, or enterprise software, one thing is clear: if users and stakeholders can’t understand your AI, they won’t trust it. Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with real-world examples and proven techniques, this book shows you how to turn black-box models into clear, interpretable tools that users can believe in—and regulators can approve.

Large Language Models (LLMs) are revolutionizing the way we interact with technology—powering chatbots, automating content creation, summarizing information, writing code, and even generating art. Large Language Models (LLMs) is your definitive guide to understanding these groundbreaking AI systems and how they’re reshaping industries, workflows, and everyday life.

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.

Quantum computing isn’t science fiction anymore—it’s becoming a real competitive edge. As breakthroughs accelerate, companies need developers who can bridge today’s systems with tomorrow’s quantum-powered capabilities. That’s where Quantum-Ready Development comes in. This practical and forward-looking guide equips modern software engineers, architects, and tech leaders with the tools, mindset, and frameworks to prepare for quantum integration without waiting for the future to arrive.

Code smarter. Build faster. Stay ahead. AI isn’t replacing developers — it’s supercharging them. Coding with Intelligence is your guide to mastering the future of software development, where artificial intelligence becomes your most powerful teammate. This book shows you exactly how to level up your development workflow with real-world AI tools.

AI-Powered Assistants is your must-have guide to building, using, and thriving with intelligent virtual agents that think, act, and adapt. Whether you're a business leader looking to boost productivity, a developer eager to build the next-gen assistant, or simply curious about how AI is reshaping our digital lives, this book shows you how to make the most of the AI revolution.

AI Product Development is a comprehensive and practical guide for product managers, engineers, data scientists, and tech leaders who are committed to creating intelligent products that solve real-world problems at scale. This book bridges the gap between machine learning theory and practical product delivery, offering a step-by-step blueprint for integrating AI into every stage of product development.

As cyber threats become more advanced, persistent, and automated, so must our defenses. AI-Enhanced Cybersecurity explores how artificial intelligence is transforming the way organizations detect, respond to, and anticipate cyberattacks across digital ecosystems. This practical and forward-looking guide demystifies the role of machine learning, natural language processing, and intelligent automation in cybersecurity. It introduces tools and frameworks that empower security teams to analyze large volumes of data in real time, detect anomalies faster, and respond with precision and speed.

Throughout history, the dream of creating a superior race—whether physically, intellectually, socially, or economically—has tempted the bold and the reckless. Once every century, a man consumed by a God complex dares to turn that dream into reality. The year 1930 saw such a man, and the devastating legacy still haunts us today. Now, 2030 looms with the promise—and peril—of another.