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Samenvatting Kunstmatige Intelligentie HBO UITGEBREID 2026 + 25 Oefenvragen - Machine Learning Deep Learning CNN Transformer NLP LLM Computer Vision GAN Ethiek EU AI Act MLOps

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COMPLETE KUNSTMATIGE INTELLIGENTIE — 30+ PAGINA'S! PREMIUM #80! Fundamenten (narrow vs AGI, Turing Test!, symbolisch vs subsymbolisch!), wiskunde (gradient descent, loss, overfitting vs underfitting!), supervised (random forest, F1-score, AUC-ROC!), unsupervised (K-Means elbow!, PCA!) + RL (AlphaGo!), deep learning (backpropagation, ReLU, dropout, transfer learning!), architecturen (CNN beeldherkenning!, LSTM geheugen!, Transformer "Attention is All You Need" → GPT, BERT, Gemini!), NLP (Word2Vec King-Man+Woman=Queen!, LLM, RAG, hallucination!), computer vision (YOLO real-time!, GAN deepfakes!, diffusion DALL-E!), ethiek (bias Amazon CV's!, XAI SHAP!, EU AI Act verboden/hoog risico, boetes 7%!), MLOps (deployment, drift, monitoring!). HBO AI, Informatica, Data Science — AI = DE TOEKOMST!

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Samenvatting Kunstmatige Intelligentie —
HBO 2026

UITGEBREIDE EDITIE — Machine Learning, Deep Learning,
NLP, Computer Vision, Ethiek, Toepassingen + 25 Oefenvragen

Complete Examenvoorbereiding — Premium Editie


Versie: 2026 — UITGEBREIDE PREMIUM EDITIE
Geschikt voor: HBO AI, Informatica, Data Science, Technische Informatica
Inhoud: Machine learning + deep learning + NLP + computer vision + ethiek + toepassingen + 25
oefenvragen
Omvang: 30+ pagina's




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, DEEL 1: FUNDAMENTEN AI

1.1 Wat is AI?

Kunstmatige Intelligentie = machines die INTELLIGENT gedrag vertonen


AI-typen:
→ Narrow AI (ANI): 1 specifieke taak (Siri, schaak, beeldherkenning!)
→ DIT hebben we nu (2026!)
→ General AI (AGI): ALLE menselijke taken (nog niet bereikt!)
→ Super AI (ASI): boven menselijke intelligentie (theorie!)


Geschiedenis:
→ 1950: Turing Test — "Kan een machine DENKEN?"
→ 1956: Dartmouth conferentie — term "AI" geboren!
→ 1997: Deep Blue verslaat Kasparov (schaak!)
→ 2016: AlphaGo verslaat Lee Sedol (Go!)
→ 2022: ChatGPT → AI voor IEDEREEN (LLM revolutie!)
→ 2026: AI-agenten, multimodale modellen, wetgeving!


AI-paradigma's:
Symbolische AI (GOFAI):
→ Regels + logica (if-then!)
→ Expertsystemen: medische diagnose (jaren 80!)
→ Beperking: kan niet LEREN uit data!


Subsymbolische AI (connectionism):
→ Neurale netwerken → LEREN uit data!
→ Machine learning → deep learning
→ Data-driven: meer data = beter model!


→ AI winter: perioden van TELEURSTELLING (1970s, 1990s!)
→ Huidige boom: big data + GPU's + algoritmen → DOORBRAAK!

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