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Big Data - og affald Helle Rootzen

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Presentation on theme: "Big Data - og affald Helle Rootzen"— Presentation transcript:

1 Helle Rootzen - @hellehero
Big Data - og affald Helle Rootzen Professor in Learning Technology and Digitalization and Head of learnT DTU - Centre for Digital Learning Technology DTU Compute

2 DTU Compute has: Total: 387 Professors: 26 Faculty: 102
Researchers: 64 Postdocs: 49 PhD’s: 131 Administrative staff: 41 Total: 387

3 Big Data•DTU Research Influence on policy prioritization
DABAI and Big Data tools Infra- structure DeIC eScience Competence Center Education Big Data Scientist Master profile Continuing Education Big Data Business Academy Innovation and company collaboration Influence on policy prioritization Big Data Value Association (BDVA)

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5 Big Data Hackathon 65 students 10 groups 48 hours DTU's Skylab

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9 We live in the most exiting time ever .......

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13 Sense Think Act Big Data value chain Data Origins Data Collection
The Internet, sensors, machines, etc. Data Collection Web log, sensor data, images/audio, RFID and videos, etc. Data Storage Technologies supporting data storage Analytics: Predictive analytics, patterns in data, decision making Consumers: Business processes, humans, and applications Sense Think Act

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16 What is a statistical model?

17 2 way analysis of variance

18 What can you use a statistical model for?
Description Hypothesis testing Prediction Simulation

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23 More observations More variables

24 Too complicated models?
Algorithms Machine Learning Artificial Intelligence

25 What is the relevant question?
A lot of stuff in between - and in fact you can handle very complicated statistical models What is the relevant question?

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