Artificial Intelligence

This practical guide shows you how to build production-ready speech recognition applications from the ground up. Learn how to use Voice Activity Detection, choose the right ASR models, build real-time inference pipelines, and deploy scalable systems with hands-on examples and modern open-source tools.

Learn Python from scratch with this clear, step-by-step beginner’s guide. Perfect for students, professionals, and self-learners. Master programming fundamentals through practical examples, exercises, and real mini-projects. Build confidence and start coding today!

Master DeepSeek V3 — one of the most capable AI models of its time.This practical guide teaches students, researchers, and professionals how to use DeepSeek V3 for learning, research, coding, content creation, automation, and productivity — with strong focus on prompt engineering and responsible AI usage.

Unlock the power of Llama 4 — the next generation of open-weight multimodal AI.This practical guide shows students, researchers, and professionals how to harness advanced AI tools for learning, research, teaching, and productivity. From generating study notes and research ideas to building educational chatbots and optimizing workflows, discover how Llama 4 can transform the way you work and learn

Most enterprise AI programs do not fail because the model is weak. They fail because the organization cannot operate AI: costs are hidden, ownership is vague, governance is late, vendors create dependency, and production risk is not clearly assigned. This book helps leaders fix the system around the model.

Go beyond basic tutorials and learn how to design, deploy, and defend production-grade environments. This comprehensive blueprint bridges the gap between system administration, network architecture, and proactive cybersecurity.Whether you are setting up robust server infrastructures, orchestrating enterprise networks, or integrating cutting-edge defense systems like Wazuh and Fortigate, this course provides the exact, hands-on steps needed to implement secure and highly available digital infrastructures. What you will master inside:• Advanced Systems & Server Administration• Secure Network Design & Routing Orchestration• Active Threat Monitoring & Infrastructure Defense Blueprints

A model you rent can be repriced, throttled or revoked. A model you own cannot. Build a sovereign local AI factory on commodity enterprise hardware: Apache CloudStack, frontier-class open models in 768GB of RAM, GPU passthrough, RAG, fine-tuning, and a multi-agent support desk — with nothing leaving the building. You don't need to be a hyperscaler. Grow your own, cook your own.

When you buy this book, you will get access to the Companion Resource Library, which includes:High-resolution versions of all figures featured in this volume.Curated educational videos from leading universities, research organizations, and trusted science communicators that complement the topics covered in this book.Additional companion resources and updates as they become available.

A visual journey through the world of Large Language Models. Learn how modern AI systems work using diagrams, mental models and simplified explanations—without getting lost in unnecessary complexity

What happens when AI agents move beyond chatbots and become part of our bodies, ecosystems, cities and even space infrastructure? Explore a collection of futuristic AI concepts through visually rich infographics that imagine the next evolution of intelligent systems.

Josh saw the shooting outside his college. His AI headset did not let him see the people who carried it out. Three milliseconds earlier, a routine safety update had changed the rules.

A practical, code-first guide to physics-informed machine learning for scientists and engineers. You'll build a working Physics-Informed Neural Network from scratch in PyTorch, solve a real differential equation, and verify it against the exact solution — staying honest about both the power and the limits of the method.

The latest version of Rust (1.85) has some great new features, like async closures, more stable associated function return types, and const generics that are now mature enough to underpin serious numerical libraries. The linfa and smartcore ecosystems have developed into decent classical machine learning stacks. The Burn training framework feels native to Rust, not like it's been ported from it. The Candle makes it so that loading pre-trained transformer models is more of an engineering task than a research exercise. The crates that used to need all sorts of workarounds now just work.

Turn data into intelligent decisions. Discover how machine learning works and learn to build predictive models using Python and Scikit-Learn. From data preprocessing and visualization to classification, regression, clustering, and model evaluation, this practical guide helps you develop real-world machine learning skills.

AI won’t replace people who know how to adapt—it will empower them. In a world transformed by artificial intelligence, your greatest advantage is not technology, but your ability to think critically, learn continuously, build meaningful relationships, and act with purpose. Discover the human skills that machines cannot replicate and learn how to stay relevant, productive, and future-ready.