Data Management and Machine Learning
Computers have fundamentally changed the way the world produces, manages, processes and analyzes data. Not only does the amount of data keep growing every day, what we do with the data and how we extract value from it is becoming a dominant theme in our society.
ETH computer science covers all aspects of the data value chain: production and acquisition of data (e.g., sensors, web crawling, Internet of Things); data organization and storage (databases, storage engines, file systems, models and formats); data processing (data warehousing, data integration, image processing); learning from data (machine learning, data mining, natural language understanding); making predictions and decisions (e.g., information retrieval, intelligent systems, medical data analytics). Our expertise ranges from the design and analysis of algorithms and models for machine learning and their use in intelligent systems to complete system design in software and hardware, encompassing small embedded systems as well as large scale data centers and cloud based platforms.
Areas of research
artificial intelligence, big data, cloud computing, data analytics, databases, data mining, data science, enterprise computing, machine learning, medical informatics, natural language understanding