Artificial Intelligence & Machine Learning – Book 1 / Künstliche Intelligenz & Machine Learning – Band 1: Bilinguales Lehrbuch (Deutsch–Englisch) mit ... ) Vocabulary & Reading Comprehension)
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- Unlock the world of Artificial Intelligence through story-driven, bilingual learning. Artificial Intelligence & Machine Learning – Book 1 / Künstliche Intelligenz & Machine Learning – Band 1 introduces readers to modern intelligent systems through a unique combination of German–English parallel storytelling, technical vocabulary, and exam-style comprehension activities.This richly structured educational book follows Lena Weber, a dedicated AI researcher working at the frontier of machine intelligence. Through fifteen interconnected units, readers accompany Lena as she builds intelligent agents, trains machine-learning models, constructs data pipelines, explores deep-learning architectures, and experiments with advanced generative AI.Each chapter uses narrative immersion to explain complex ideas in a clear, intuitive way — turning terms like neural network, gradient descent, data pipeline, transformer, generative model, and reinforcement learning into meaningful concepts through realistic scenarios. 🌍 A Bilingual Learning Journey (DE–EN)Every unit includes:German–English parallel textBold-highlighted AI/ML terminology in contextReading comprehension questionsVocabulary-based MCQs using all chapter termsA continuous story arc connecting technical concepts across the entire bookThe bilingual format strengthens both language proficiency and technical literacy, making the book ideal for:STEM studentsAI and ML beginnersGerman and English language learnersProfessionals in technology, medicine, research, or data scienceEducators seeking structured bilingual materials 🤖 What You Will Learn (Through the Story)Across 15 units, readers explore essential areas of modern AI:• Foundations of artificial intelligence and intelligent agents • Machine learning paradigms (supervised, unsupervised, reinforcement) • Core algorithms (regression, decision trees, SVMs, ensemble models) • Deep learning fundamentals (neural networks, backpropagation, optimization) • Advanced architectures (CNNs, RNNs, LSTMs, Transformers) • Natural language processing and computer vision • Reinforcement learning systems • Data engineering and feature learning • Big-data technologies (Hadoop, Spark, NoSQL) • Model evaluation and fairness • AI hardware (GPU, TPU, NPU) • Generative AI (GANs, diffusion models, inpainting, text-to-image, etc.)All vocabulary appears naturally in the story, not as isolated lists. 🎓 For Language Learners & Technical Learners AlikeThe book is designed to support a wide range of learning goals:Building technical German–English vocabularyUnderstanding AI/ML concepts through realistic narrativesLearning in context rather than through memorizationPracticing comprehension for academic or professional examsStrengthening bilingual STEM reading skillsPreparing for advanced study or work in AI and data science 📘 About This SeriesBook 1 provides foundational terminology and core conceptual understanding. Future volumes will expand into robotics, advanced generative systems, autonomous agents, multimodal AI, and domain-specific applications.Whether you’re an AI beginner, a bilingual learner, or a professional aiming to deepen your understanding of machine intelligence, this book offers a unique, story-driven path into one of the most important fields of our time.Begin your journey into the world of intelligent systems — in two languages, through one compelling narrative.
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