Artificial Intelligence

For those who want to build controlled, reproducible AI systems entirely within their own infrastructure, this book is the most practical and implementation-focused trainer. Instead of relying on external APIs or cloud-hosted intelligence services, this book clearly demonstrates how Apache Spark can orchestrate data preparation, model training, batch inference, reporting, and LLM acceleration in a disciplined and transparent way.

Stop selling hours and start owning systems that compound. This technical field manual provides eight executable "money identities" to help you graduate from trading time for dollars into designing AI-powered systems that generate "Agentic Wealth".

In a world designed for efficiency, can a choice beyond calculation still matter? A philosophical inquiry into how human freedom emerges at the limits of algorithmic logic.

Turn AI into leverage, engineer your first $29 sale, and prove your business is real - in days, not months.

Dieses Buch zeigt Führungskräften, IT- und Entwicklungsteams, wie sie KI nicht als isoliertes Projekt, sondern als unternehmensweite, skalierbare und kontrollierbare Transformationsaufgabe umsetzen – praxisnah am Beispiel der Workflow-Plattform n8n.

Master machine learning algorithms through worked examples and hands-on practice problems. From logistic regression to neural networks, this companion exercise book provides step-by-step solutions and progressive difficulty levels to build deep understanding.

A ship physician who practices 1,000 miles from shore and trains medical AI systems explains what every clinician needs to know about the technology that is quietly reshaping their practice.

Tired of paying monthly subscriptions to AI agents? Here is the answer

As traditional institutions struggle to keep pace with technology, sovereignty is shifting from legal parchment to digital protocols. Explore how "Algorithmic Sovereignty" is creating a new global order where code acts as the ultimate arbiter of power, property, and personhood.

We are transitioning from an economy of human clicks to a world governed by machine-to-machine APIs. This monograph provides the essential roadmap for surviving the "Agent Economy," where autonomous AI agents negotiate and transact in a market that no longer waits for human permission.

AI doesn’t fail because it isn’t smart. It fails because it isn’t usable. This book defines the foundations of designing AI agents people trust, understand, and rely on.

Master the art of AI interaction with 22 proven prompting techniques, real code examples, and production-tested strategies. From the creator of GitHub's most-starred prompt engineering repository (7,100+ stars).

Stop guessing which machine learning algorithm to use. This book provides clear mathematical explanations, decision frameworks, and real-world examples to help you select, implement, and evaluate models correctly from data to deployment.

Architecture. Teams. Business. Aligned. Finally, a guide that connects the dots. From Team Topologies to Flexible Project Management, learn how to build systems that align with your business goals instead of fighting against them. Stop estimating and start engineering your path to confidence.

Throughout the book, we use a car-search platform as a unifying example. From ingestingdata about car listings to enriching, it with analytics and providing real-time search results, thisplatform showcases the challenges and opportunities of modern data platforms. By followingits journey, you will gain actionable insights that can be applied to a wide range of domains.Building the software platforms is not just about technology; it’s about solving real-worldproblems with creativity within the given guardrails both financial or engineering. This bookwill be guiding you through every phase of design, implementation, and evolution. Let’s buildthe future of data platforms together.