Résultats pour "Systema" dans Informatique et technologie

Bloomsbury presents The System written and read by James Ball. 'A fascinating exposé of the world behind your screen. Timely, often disturbing, and so important' Caroline Criado Perez, author of Invisible Women 'Takes us beyond Zuckerberg, Bezos et al to a murkier world where we discover how...

Artificial intelligence is transforming how we learn—but using it effectively requires more than curiosity. The AI Learning System is a practical, no-hype guide that shows you how to turn AI into a powerful tool for structured, independent learning. Designed for students, professionals, and self-learners, this audiobook focuses on what truly matters: building better study systems, asking smarter questions, and using AI to deepen understanding—not replace it.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

The system design interview is one of the hardest challenges you'll face in the software engineering hiring process. This practical book gives you the insights, the skills, and the hands-on practice you need to ace the toughest system design interview questions and land the job and salary you want.

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations.

“Read this if you want to understand how to shape our technological future and reinvigorate democracy along the way.”—Reed Hastings, cofounder and CEO of Netflix "A triumph: an analysis of the critical challenges facing our digital society that is as accessible as it is sophisticated." —...

The NIST Cybersecurity Framework, intelligently designed to synchronize with top-tier industry practices, is a treasure trove for all cybersecurity enthusiasts, IT professionals, or organizational leaders determined to enhance their information systems security. This book, with its ability to translate complex concepts into accessible lessons, has the power to elevate beginners into adept cybersecurity practitioners.

The Complete Beginner's Guide to Building Autonomous Systems with LLMs and Agentic Agents is your step-by-step roadmap into the future of intelligent automation. Designed specifically for beginners, this guide breaks down complex AI concepts into clear, practical lessons—no advanced background required. Inside, you'll discover how Large Language Models (LLMs) work, how agentic systems make decisions, and how to connect tools, memory, and workflows into fully autonomous AI pipelines.

Bridges the gap between AI and neuroscience by telling the story of how the brain came to be. 'I found this book amazing' Daniel Kahneman, Winner of the Nobel Prize in Economics and bestselling author of Thinking Fast & Slow The entirety of the human brain’s 4-billion-year story can be...

Stop Building Chatbots. Start Engineering Autonomous Systems. Most “AI guides” teach prompts. This book teaches architecture. If you want to design AI agents that plan, reason, execute tools, manage memory, coordinate roles, and operate safely in real-world environments—this is your field manual. The All In One Agentic AI Bible is a structured 7-step framework that takes you from foundational concepts to enterprise-grade deployment.

Discover a comprehensive guide designed to equip you with the essential skills and knowledge needed to excel in the realm of Linux system administration. This book serves as a practical resource for individuals aspiring to become proficient (RHCSA) Red Hat Certified System Administrators, offering a structured approach to mastering the intricacies of Red Hat Enterprise Linux. You'll embark on a journey through the fundamental concepts and practical techniques essential for effectively managing Linux-based systems.

In our interconnected world, we face a complex cybersecurity ecosystem where digital vulnerabilities can have far-reaching consequences. Threats to digital infrastructure often impact critical physical systems, potentially causing real-world harm. With AI agents set to handle extensive personal information, data security and privacy are more crucial than ever.

Trust in Artificial Intelligence is not just a regulatory requirement—it is a matter of business ethics, cultural awareness, and responsible design. This book takes an integrated approach, revealing how Trustworthy AI Systems extend beyond algorithms, servers, and databases to also include appearance, environment, and humans.

Want to Implement AI Agents in Your Organization? Heard of Agentic AI & Wonder What It Is About? Need a No-BS Guide to Implementing AI Agents Today? If you answered yes to any of these questions, then keep reading ... Amazon-bestselling author and AI consultant David M. Patel is going to show in this comprehensive hands-on executive guide to AI Agents everything you need to know to implement and harness the full potential of AI Agents & Agentic AI in your organization.

Vertrauen in Künstliche Intelligenz ist nicht nur eine regulatorische Anforderung, sondern auch eine Frage der Unternehmensethik, des kulturellen Bewusstseins und verantwortungsvollen Designs. Dieses Buch verfolgt einen integrierten Ansatz und zeigt, wie vertrauenswürdige KI-Systeme über Algorithmen, Server und Datenbanken hinausgehen und auch Aussehen, Natur und Menschen berücksichtigen.

Part one of this audiobook delivers a variety of computer networking-related topics to be easily understood by beginners. In part two, you will take a journey into the world of cybercrimes and cybersecurity. The topics outlined in this audiobook are delivered in a language easy to understand and constantly piquing your interest so that you will want to explore the topics presented even more.

A forward-thinking manifesto from three Stanford professors, which reveals how big tech's obsession with optimisation and efficiency has sacrificed fundamental human values and outlines steps we can take to change course, renew our democracy and save ourselves. As the dominance of big tech becomes an explosive societal conundrum, they share their provocative insights and concrete solutions to help everyone understand what is happening, what is at stake and what we can do to control technology instead of letting it control us.

Most traders don't fail because they lack information — they fail because they lack a system. AI Trading Systems for Stocks teaches you how to use ChatGPT and modern AI tools to build clear, rules-based trading systems that remove emotion, improve consistency, and help you make better trading decisions — without coding, automation, or black-box algorithms. This book is not about trade alerts, predictions, or shortcuts. It's about building a repeatable decision-making process, with AI acting as your structured assistant — not your replacement.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.