Books

What is intelligence?At its core, intelligence is the ability to process information.But what exactly is information?How do neural networks compress knowledge?Why does cross-entropy dominate machine learning?How do Variational Autoencoders learn latent representations?What role does entropy play in regularization, generalization, and modern AI systems?Information Theory and Artificial Intelligence: Entropy, Coding, Regularization, and Generative Models (Volume I) provides a comprehensive exploration of the mathematical foundations that power modern artificial intelligence.Inside this volume, you will discover:✓ Shannon Entropy and Measures of Information✓ Mutual Information and Feature Learning✓ Cross-Entropy and Machine Learning Loss Functions✓ Kullback–Leibler (KL) Divergence✓ Source Coding and Data Compression✓ Huffman, Arithmetic, and Lempel–Ziv Coding✓ Channel Capacity and Communication Limits✓ Information-Theoretic Learning Principles✓ Information Bottleneck Theory✓ Entropy-Based Regularization✓ Neural Networks as Information Processing Systems✓ Error-Correcting Codes and AI Robustness✓ Neural Communication Systems✓ Variational Inference and Variational Autoencoders (VAEs)Whether you are a student, researcher, educator, or AI professional, this book provides the conceptual and mathematical foundation necessary to understand how information drives learning, intelligence, and modern AI systems.Learn not just how AI works—but why it works.

Ship a GitHub issue-triage agent from laptop PoC to production - one chapter at a time, fixing real failure modes with contracts, evals, and rollback plans. Built on Pydantic AI for engineers who already know how to ship software and need agents that behave the same way.

Artificial Intelligence is powered by neural networks.But how do neural networks actually learn?How do systems recognize faces, understand speech, generate text, and create images?Neural Networks and Architectures: A Comprehensive Guide for Students provides a complete learning pathway from fundamental concepts to state-of-the-art deep learning architectures.Inside this book, you will discover:✓ Biological inspiration behind neural networks✓ Mathematical foundations of deep learning✓ Perceptrons and Multi-Layer Perceptrons (MLPs)✓ Forward Propagation and Backpropagation✓ Activation Functions and Regularization Techniques✓ Convolutional Neural Networks (CNNs)✓ Recurrent Neural Networks (RNNs), LSTM, and GRU✓ Autoencoders and Generative Adversarial Networks (GANs)✓ Transformer Architecture, BERT, and GPT✓ Optimization Algorithms and Model Training✓ Practical Projects using TensorFlow, PyTorch, and Keras✓ Ethical Considerations and Future Research DirectionsDesigned for students, educators, researchers, and AI enthusiasts, this book combines theory, mathematics, implementation, and applications into one comprehensive learning resource.Build a strong foundation in neural networks and prepare yourself for the future of Artificial Intelligence.

What happens when intelligent machines must compete, cooperate, negotiate, and learn in the same environment?The answer lies at the intersection of Game Theory and Artificial Intelligence.From autonomous vehicles negotiating road traffic to trading algorithms competing in financial markets, from multi-robot coordination to cybersecurity defense systems, modern AI increasingly operates in strategic environments involving multiple decision-makers.This book provides a complete journey through:✓ Classical Game Theory and Nash Equilibrium✓ Multi-Agent Systems and Distributed Intelligence✓ Reinforcement Learning and Multi-Agent RL✓ Deep Reinforcement Learning Algorithms✓ Mechanism Design and Incentive Engineering✓ AI Applications in Robotics, Economics, Networks, and Cybersecurity✓ Evolutionary and Quantum Game Theory✓ AI Safety, Governance, and AlignmentWritten for students, researchers, educators, and professionals, this book bridges mathematical foundations with cutting-edge AI research and real-world applications.Whether you are learning game theory for the first time or exploring advanced multi-agent intelligence, this book offers the knowledge and tools needed to understand the future of strategic artificial intelligence.

The definitive guide to Windsurf — the AI IDE with both Cascade (interactive agent) and Devin (autonomous agent). Covers Supercomplete, Flows, .windsurfrules, large codebases, testing, Git, and the honest comparison with Cursor and Claude Code. 14 chapters.

Think The Phoenix Project or The Goal, but for the age of AI agents: a business novel that teaches a hard technical subject through story and humor, aimed at the people who have to make decisions about it, as well as people who are actively engaged in architecture and engineering.

AI is becoming part of everyday professional work. This practical, non-technical handbook will show you how to use it effectively to save time, improve the quality of your work, make better-informed decisions, and get more done. Learn what AI does well, where human judgement matters, and how to work confidently with AI in the real world.

LLMs and agentic AI are currently generating a great deal of hype. When applied correctly, they can deliver tremendous benefits. This book outlines the challenges involved in implementing these technologies within large enterprises—particularly in regulated environments. It serves as an accessible introduction for IT-focused executives and enterprise architects, while also proving useful for IT professionals in general who wish to explore the subject and avoid common project pitfalls.

As smart factories evolve and artificial intelligence takes center stage, many organizations are asking: Do we still need leaders walking the shop floor? This book answers with a resounding yes.

Part of Lean Foundations & Advanced AI Applications SeriesWhether you're in healthcare, government, education, or manufacturing, AI-Powered Lean helps you reimagine how value is created—and how waste is eliminated—with the aid of intelligent tools.

What's inside:33 ranked optimization patterns from foundational table design through advanced governance. A complete partition and clustering playbook with six Tier 1 patterns.Shuffle reduction techniques built around five patterns that eliminate the most expensive operations. The On-Demand vs Reservations decision framework with diagnostic SQL.A full Guardrails Playbook 

AWS replaced Amazon Q with Kiro — an AI IDE that writes specs before code. 14 chapters covering spec-driven development, AI agents, hooks, MCP integrations, AWS deployment, and the honest comparison with Cursor and Copilot. The definitive guide.

The tech job market changed. Entry-level dropped 73%, AI screens resumes, interviews test system design. This is the no-BS guide: portfolio, resume, LinkedIn, interviews, negotiation, and your first 90 days. Written by someone who hires engineers.

Kubernetes exposes plenty of state, but operators still have to reconstruct operational meaning from scattered Pods, Services, EndpointSlices, Events, PVCs, owner references, and status fields. This ebook uses `kctx`, a small read-only Kubernetes context engine, to show how deterministic entities, relations, signals, graphs, namespace snapshots, CRD adapters, and stable JSON contracts can turn raw cluster data into reusable context for humans, tools, and AI agents. It is written for SREs, platform engineers, Kubernetes operators, infrastructure developers, and AI tooling builders who want better primitives than raw YAML and improvised troubleshooting pipelines.

Artificial Intelligence is no longer just a tool for generating text.Modern AI systems can understand documents, analyze images, process audio, interpret structured data, and assist with complex reasoning tasks. Gemini 3 represents a significant advancement in multimodal AI, enabling students, researchers, and professionals to interact with information in more intelligent and productive ways.This practical guide explores how Gemini 3 works, how multimodal AI systems process different types of information, and how users can integrate these technologies into learning, research, communication, and professional workflows.Inside this book, you will discover:✓ How multimodal AI processes text, images, documents, and audio✓ Effective prompt engineering strategies✓ AI-assisted learning techniques for students✓ Research workflows powered by AI✓ Professional productivity and knowledge management applications✓ Responsible AI usage and risk awareness✓ Step-by-step working models for real-world implementationWhether you are a student preparing for the future, a researcher managing large volumes of information, or a professional seeking greater productivity, this book provides a practical roadmap for leveraging Gemini 3 in an AI-driven world.