Computer Systems

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.

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.

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.

This book is great for those just starting out in programming. And for those needing more advanced coding knowledge. The author explains everything step by step in a simple and easy to understand way. This book covers JavaScript, HTML, SQL, CSS, and Python programming languages. The narrator in the audiobook version seems to be pretty good. He doesn't drone on.

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.

Immerse yourself into the world of computer science and computer systems technology with this all-inclusive guide. We begin by introducing you to the origins and mechanisms of function behind such systems. We then proceed into a comprehensive review of more advanced topics such as hardware specifics, and even algorithms and data structures. This audiobook serves as an excellent supplemental study guide for listeners studying for the CompTIA A+ Certification Exam.

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

The world of computers is growing at an unrecordable rate every day. Computers are the most influential tools in our lives. They are our present and future. Most users see a computer at the front and use the graphical user interfaces. The first time I used a computer, it intrigued me to know how these interfaces work. In this book, you will learn the same way I did.

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

Artificial Intelligence (AI) is causing massive changes in our lives, both at the individual and societal level, with the global AI market expected to reach around 126 billion US dollars by 2025. As more and more decision-making moves to AI systems, unique risks are being introduced. However, this topic can be quite challenging for newcomers who want to understand the governance and cyber-security risks that AI introduces. This book assumes zero prior knowledge of AI or machine learning and explains in an easy-to-understand way how to govern and secure AI.

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.

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.

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.

The word “hacking” has preconceived connotations, and most people don't quite grasp the whole concept that goes into the process of hacking. Hackers have a notorious reputation. But there’s a side of hacking that most people aren’t aware of: ethical hacking. You don't hear about the ethical hacking in the news, but there are people out there with the same job description fighting the malicious hackers daily, and they get the bad rep.

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 examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

Are you ready to join the revolution that’s transforming sports betting? How to Start Sports Betting with AI is the ultimate step-by-step guide that bridges the gap between advanced data science and practical betting strategies—designed for beginners and experienced bettors alike.

Do you have a big interest in computers and how they work? Are you interested in learning how to become a hacker? Would you like to learn all of this in a safe and secure manner that can make life easier? Computer Networking: All in One contains all the knowledge you need to achieve your goals in the computer world.

At a time when Steve Jobs was only a teenager and Mark Zuckerberg wasn’t even born, a group of visionary engineers and designers—some of them only high school students—in the late 1960s and 1970s created a computer system called PLATO, which was light-years ahead in experimenting with how...

In this updated edition, the authors show you how zero trust lets you focus on building strong authentication, authorization, and encryption throughout, while providing compartmentalized access and better operational agility. You'll learn the architecture of a zero trust network, including how to build one using currently available technology.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.