Showing results for "Das System" in Computers & Technology

Winning Social Media in 2026 is your practical roadmap to growing an audience, creating engaging content, and building real income in the modern creator economy. Whether you're starting from zero or trying to revive a stagnant account, this guide breaks down the exact strategies creators need to succeed in today's AI-driven social platforms.

As artificial intelligence and automated systems increasingly shape our courts, hospitals, workplaces, and financial institutions, a fundamental question emerges: Who remains accountable when machines decide? Ethics in Autonomous Systems offers a rigorous yet accessible exploration of moral responsibility in a world governed by algorithms. Rather than treating automation as neutral or inevitable, this book challenges listeners to examine the ethical architecture beneath every line of code and every data-driven decision.

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.

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data...

The internet is a network of physical cables and connections, a web of wires enmeshing the world, linking huge data centres to one another and eventually to us. All are owned by someone, financed by someone, regulated by someone. We refer to the internet as abstract from reality. By doing so, we obscure where the real power lies. In this powerful and necessary book, James Ball sets out on a global journey into the inner workings of the system.

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.

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

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.

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.

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.

Most people are stuck in straight-line thinking. They see problems in isolation, chase quick fixes, and treat outcomes as immediate and unconnected. But the real world doesn’t work that way—it runs on systems. Interconnected causes, delayed effects, feedback loops, hidden incentives, and ripple consequences drive everything around us. This audiobook rewires your brain for systems thinking—one powerful shift at a time. You’ll get 100 clear, actionable strategies.

This is a two audiobook book bundle related to C++ programming and learning the Linux Operating System. Two manuscripts for the price of one! What's included in this 2 book bundle manuscript: "C++: Learn C++ Like a Boss. A Beginners Guide in Coding Programming and Dominating C++. Novice to Expert Guide To Learn and Master C++ Fast". "Hacking University Senior Edition: Linux. Optimal beginner's guide to precisely learn and conquer the Linux operating system. A complete step-by-step guide in how the Linux command line works."

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.

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.

It is a fact that you'll be bombarded with system design interview questions which have become part and parcel of all the software engineering hiring processes. Your performance in these interviews will reflect upon your capability to work with complex systems and translate into the role and position that the interviewing organization is interviewing you for. This audiobook is a comprehensive guide to master all the concepts about SDIs.

Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.

Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. 

Most people are using ChatGPT the wrong way. They ask random questions, generate quick answers, and move on. But the real power of AI isn’t just getting answers—it’s building systems that work for you automatically. ChatGPT Automation for Beginners shows you how to turn ChatGPT into a practical automation engine that can help you build sales systems, marketing workflows, and business processes—even if you have no technical background.

When we avoid taking a decision, what happens to it? In The Unaccountability Machine, Dan Davies examines why markets, institutions and even governments systematically generate outcomes that everyone involved claims not to want. He casts new light on the writing of Stafford Beer, a legendary economist who argued in the 1950s that we should regard organisations as artificial intelligences, capable of taking decisions that are distinct from the intentions of their members.