Computer Science Technology

This book offers an overview of computer science from a perspective that is accessible to those without an extensive technical background. While the field of computer science encompasses a vast array of complex topics and applications, this work endeavors to present these concepts in a clear and approachable manner. Through the exploration of various aspects of computer science, readers will gain a foundational understanding of this rapidly-evolving field, even in the absence of prior experience or technical expertise. This literary work is not intended to serve as a technical reference or ...

A clear, simple, beginner-friendly guide to understanding the technology that powers our world. If you’ve ever wanted to understand computers, programming, apps, networks, artificial intelligence, or how modern technology actually works — this book explains it all in easy, everyday language. Inside this guide, you’ll learn: ✔ How computers process information ✔ The difference between hardware, software, and operating systems ✔ Foundations of programming and algorithms ✔ How the internet, networks, and cybersecurity work ✔ What artificial intelligence and machine learning ...

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Understanding Generative Intelligence is a beginner-friendly guide that explains how AI-generated content is transforming creativity, learning, communication, and productivity in today's digital world. Written in clear and accessible language, this book helps readers understand the foundations of generative AI without requiring technical expertise, making it ideal for anyone curious about the technology behind modern AI tools.

The Modern AI Handbook is a practical and accessible guide designed to help readers understand artificial intelligence with confidence, clarity, and purpose. Written for beginners and non-technical readers, this book explains the essential concepts behind AI while demonstrating how these tools are transforming learning, productivity, communication, and decision-making in everyday life.

The Everyday AI Toolkit is a practical and beginner-friendly guide to using artificial intelligence as a tool for learning, creativity, organization, and everyday productivity. Designed for readers who want to benefit from AI without needing technical expertise, this book demonstrates how simple AI-powered strategies can help streamline tasks, generate ideas, improve planning, and support personal and professional growth.

The first time I used a computer, it intrigued me to know how these interfaces work. In this audiobook, you’ll learn the same way I did.

Science Concepts Explained for Non-Scientists: Clear Guides to How the World Works Computer Science Explained for Non-Scientists: How Algorithms, Data, and Digital Systems Shape the Modern World is a clear, accessible guide to one of the most influential sciences of the modern age. Written for readers with no technical background, this book explains how computer science works at the conceptual level, focusing on ideas rather than coding, formulas, or jargon. It reveals what happens behind the screens we use every day and shows how computers transform information into action through ...

Artificial Intelligence in Plain Language is an easy-to-understand introduction to artificial intelligence designed for readers who want to learn about AI without technical jargon or complex explanations. This beginner-friendly guide breaks down core AI concepts into simple language, helping readers understand what artificial intelligence is, how it works, where it is used, and why it has become such an important part of modern life.

The AI-Powered Knowledge Builder is a practical guide for students, professionals, and lifelong learners who want to use artificial intelligence to learn more effectively, conduct better research, and organize information with greater clarity. This beginner-friendly book demonstrates how AI can support the learning process by helping readers gather knowledge, simplify complex topics, and create structured systems for long-term understanding and retention.

Personal AI agents, systems that perceive, decide, and act on your behalf, are no longer enterprise technology. They are available to any professional with a laptop and the right framework. The Agentic Workflow Book is the definitive step-by-step guide to deploying your own AI agent stack: an Inbox Governor that triages email overnight, a Calendar Architect that protects your deep-work hours, a Content Ghostwriter that publishes in your voice, and a Research Agent that delivers daily industry intelligence before your first meeting.

AI for Curious Minds is an engaging beginner’s guide that introduces artificial intelligence, machine learning, automation, and emerging technologies in a clear and approachable way. Written for listeners who are interested in understanding how modern technology works without getting lost in technical jargon, this book provides a practical foundation for exploring one of the most influential innovations of our time.

Although we usually think of technology as something unique to modern times, our ancestors began to create the first technologies millions of years ago in the form of prehistoric tools and weapons. Over time, eight key technologies gradually freed us from the limitations of our animal origins.

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.

The Practical Intelligence Shift is a clear and accessible guide to understanding how artificial intelligence, automation, and digital skills are reshaping everyday life and work. Written for beginners and non-technical readers, this book explains how to use modern technology as a practical tool for improving productivity, organizing information, and making better decisions while maintaining human judgment and responsibility.

The Responsible AI User is a practical beginner’s guide to using artificial intelligence safely, ethically, and effectively in an increasingly digital world. As AI becomes a common part of everyday life, this book helps readers understand how to benefit from powerful technology while avoiding common mistakes related to accuracy, privacy, misinformation, and overreliance on automated systems.

When two Stanford graduate students set out to create a new kind of cigarette that wouldn’t kill them, they didn’t foresee all the obstacles that lay ahead — or the powerful forces their invention would unleash. Nearly 10 years after the launch of the JUUL, Backfired: The Vaping Wars asks: Could e-cigarettes have been the solution to one of the world’s most pressing public health problems—or was this technology doomed to introduce a whole new generation to nicotine, and end up perpetuating an intractable addiction?

Davidsons Audiobooks presents: CCNA Cisco Certified Network Associate †¢ The Complete Audio Study GuideMaster networking fundamentals, routing, switching, security, and automation – Perfect for Commuting, Exercising, and Doing Chores! The network never sleeps, and neither does the flow of information that powers the modern world. This audiobook study guide is designed for learners who want to prepare for the CCNA exam without pressing pause on life.

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us―and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.