Showing results for "Das System" in Computers & Technology

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.

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...

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.

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.

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.

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.

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.

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 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.

Broken Money explores the history of money through the lens of technology. Politics can affect things temporarily and locally, but technology is what drives things forward globally and permanently. The book's goal is for the listener to walk away with a deep understanding of money and monetary history, both in terms of theoretical foundations and in terms of practical implications.

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.

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.

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.

Operating systems (OS) are like the conductors of a digital orchestra, managing hardware resources, providing a user interface, and running applications. They handle tasks like memory management, process scheduling, and file management, ensuring smooth operation of a device. Different OS types, like Windows, macOS, Linux, and mobile OS like iOS and Android, cater to various devices and user needs. Understanding their role helps appreciate how our devices function seamlessly.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete...

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.

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.

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.