Showing results for "computer science" in Software Development

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.

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

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!

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.

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit.

Imagina despertar cada mañana sabiendo exactamente cómo usar las herramientas de IA más avanzadas para simplificar tu día. Ya no pierdes tiempo en tareas repetitivas y has descubierto nuevas formas de aumentar tu creatividad y productividad. Ya seas un principiante total o alguien que busca aprovechar la IA para obtener mejores resultados, la constante sobrecarga y confusión puede dificultar saber por dónde empezar. Pero, ¿y si pudieras cambiar eso?

Most people struggle with AI because they don't know how to talk to it. This hands-on beginner's guide gives you the tools, confidence, and structure to get real results from today's most powerful AI tools, no tech skills required. The AI Workshop is your plain-language guide to mastering prompt engineering, the skill that turns vague AI requests into powerful results. Whether you're a student, business owner, creative professional, or simply curious about AI, this book shows you how to stop guessing and start getting consistent, high-quality outputs.

The Secret Science of Games is an accessible and entertaining guide to the hidden role of science in making games more fun. User experience (UX) research is a vital part of the story of how video games have become a cultural juggernaut, but game developers generally don’t speak publicly about how data shapes game design and game development.

Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

Dive into “R Programming: Mastering Data Science and Statistical Computing”, the ultimate guide to one of the most powerful tools in the world of data science. Whether you're a complete beginner or an experienced professional looking to refine your expertise, this book is your gateway to mastering R programming.

Coding no longer has to feel intimidating, overwhelming, or technical. A new way of building software is emerging, one that focuses on flow, creativity, and intuition instead of syntax, memorization, and complexity. That approach is called vibe coding. Vibe Coding for Beginners is a practical introduction to building apps, automations, and AI-powered projects without a traditional coding background.

Harness the full potential of generative AI to improve your productivity, transform your career, and boost your creativity! Brought to you by the Amazon bestselling author of Essentials of AI for Beginners, this practical, engaging guide makes generative AI easy to understand and use—no matter your background, goals, or starting point. This book stands out for its in-depth yet accessible content, so you can learn core concepts without the jargon. It also includes real-world use cases to discover how AI is already transforming diverse industries. This title also offers a balanced perspective.

En cada gran revolución tecnológica, llega un momento en que la innovación deja de ser fría, mecánica o distante, y comienza a sentirse humana. La Inteligencia Artificial ha llegado a ese momento.

If you want to learn how to program in Python, but don't know where to start read on. Knowing where to start when learning a new skill can be a challenge, especially when the topic seems so vast. There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained.

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.

Unlock your coding potential with Computer Programming: Mastering the Art of Coding and Development by Rama Nolan. This audiobook is your fast track to mastering software development, covering everything from foundational programming concepts to advanced techniques like object-oriented programming, data structures, algorithms, and web development.

For a beginner, programming can seem like something scary or hard to do. With all the technical terms and concepts out there, as well as the numerous programming languages available at your disposal, it is so important - now more than ever before - to build a strong foundation. When you understand the fundamentals of programming, learning any programming language is a piece of cake. In addition, programming is not just all about coding; it is also about knowing how to plan your work, how to set deadlines, how to communicate with team members, how to use existing components, etc.

Starting a career as a software engineer without a computer science degree is a long and difficult journey, Hasan Armstrong discovered this whilst attempting to switch from a career in healthcare to software engineering. He now works as a software engineer and incorporates all the lessons he has learnt in this book. This book will provide a road map to getting a job as a software engineer without a computer science degree, as well as providing solutions to the obstacles you may face along the way.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.