Resultado de "Sam Miley" em Todas as categorias

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.

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.

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.

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.