| Modulekode | NEP 803 |
| Kwalifikasie | Nagraads |
| Fakulteit | Fakulteit Natuur- en Landbouwetenskappe |
| Module-inhoud | *Hierdie inligting is slegs in Engels beskikbaar. Introduction: Basic concepts. Supervised learning setup: Least means squares, logistic regression, perceptron, exponential family, generative learning algorithms, Gaussian discriminant analysis, naïve Bayes, support vector machines, model selection and feature selection. Learning theory: bias/variance tradeoff, union and Chernoff/Hoeffding bounds, VC dimension, worst case (online) learning. Unsupervised learning: clustering, k-means, expectation maximisation, mixture of Gaussians, factor analysis, principal components analysis, independent components analysis. Reinforcement learning and control: Markov decision processes, Bellman equations, value iteration and policy iteration, Q-learning, value function approximation, policy search, reinforce, partially observable Markov decision problems. |
| Modulekrediete | 15.00 |
| Programme | |
| Voorvereistes | Geen voorvereistes. |
| Onderrigtaal | Module word in Engels aangebied |
| Departement | Statistiek |
| Aanbiedingstydperk | Semester 1 of Semester 2 |
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