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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| AI in Big Data Environments |
| Contents |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | AI in Big Data Environments | Code | 614544016 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Optional | 6 | ||||||||||
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| Topic | Sub-topic |
| Introduction to Big Data | What is Big Data Big Data applications Big Data analytics Data analysis problems in big data environments |
| Data preparation and visualization | Data preprocessing techniques Visualization techniques |
| Federated learning | Edge learning Privacy preservation |
| Infrastructures for Big Data storage and processing: Apache Hadoop and Apache Spark | Distributed processing and infrastructures Batch learning in parallel and distributed platforms Vertical and horizontal distributed learning |
| Streaming learning | Incremental learning Real-time learning Concept-drift problems |
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