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Teaching GuideTerm Higher Polytechnic University College |
| Mestrado Universitario en Enxeñaría Industrial (plan 2018) |
 Subjects |
| Introduction to Machine Learning |
| Contents |
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| Identifying Data | 2019/20 | |||||||||||||
| Subject | Introduction to Machine Learning | Code | 730497240 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
Second | Optional | 4.5 | ||||||||||
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| Topic | Sub-topic |
| Introduction | Preliminary concepts. Types of problems: classification, regression, clustering, anomaly detection, etc. Forms of learning: supervised, unsupervised, reinforcement, etc. |
| Classification and clustering methods | Introduction Supervised classification algorithms Unsupervised classification algorithms (clustering) |
| Regression methods for modeling and prediction | Introduction Mian techniques |
| Data processing methods | Data Preparation Dimensionality reduction |
| Experimental methodology and result analysis | Metrics for model evaluation Methods for estimating error Graphical methods for comparing results |
| Optimization and search | Heuristic and metaheuristic methods Evolutionary algorithms |
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