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Re-Generation Enel (Academic Year 2020/2021) - SLP (IT e Digital Technologies) - Intelligenza artificiale

Intelligenza artificiale

Lesson n. 1: Intelligenza Artificiale. Introduzione Objectives What is AI Foundations of AI History of AI		Giovanni Felici
Lesson n. 2: Agenti intelligenti Agents and Environments The Nature of Environments The Structure of Agents		Giovanni Felici
Lesson n. 3: Quantificazione dell’incertezza Uncertainty Probability Inference Bayes’ Theorem		Giovanni Felici
Lesson n. 4: Reti Bayesiane Introduction to Bayesian Networks Conditional independence in BN Exact Inference Approximated Inference		Giovanni Felici
Lesson n. 5: Probabilistic reasoning over time Time and uncertainty Four tasks of temporal models Hidden Markov Models Kalman Filters Dynamic Bayesian Networks		Giovanni Felici
Lesson n. 6: Making simple decisions Utility Theory Decision Networks The Value of Information		Giovanni Felici
Lesson n. 7: Apprendimento & alberi di decisione Forms of Learning Supervised Learning Decision Trees		Giovanni Felici
Lesson n. 8: Regressione e classificazione - Prima parte Linear Regression Linear Classification Logistic Regression Neural Networks		Giovanni Felici
Lesson n. 9: Regressione e classificazione - Seconda parte Support Vector Machines Non Parametric Models Nearest Neighbor Non Parametric Regression Ensamble Learning Computational Learning Theory		Giovanni Felici
Lesson n. 10: Learning with knowledge & statistical learning Knowledge in learning Learning with background Statistical learning with complete knowledge Statistical learning with uncomplete knowledge		Giovanni Felici