Nettsider med emneord ?data science?
This is a course for you that wants an introduction to machine learning in R focusing on classification (supervised learning)
The course is held over 2 half-days
Day 1: Tuesday 26. April 10:15 - 13:00, Ole Johan Dahls hus, seminarrom python (2269)
Day 2: Thursday 28. April 10:15 - 13:00, Ole Johan Dahls hus, seminarrom python (2269)
Analyser av sensordata fra Norges st?rste vannkraftverk f?rte dScience-stipendiat Per August Moen helt til topps, da Statkraft, Energi Norge og Unifai arrangerte Krafthack 2022.
This is a course for you that wants an introduction to machine learning in R focusing on classification (supervised learning)
The course is held over 2 half-days
Day 1: Tuesday 18. October, 10:15 - 13:00, Ole Johan Dahls hus, seminarrom pascal (2452)
Day 2: Thursday 20. October, 10:15 - 13:00, Ole Johan Dahls hus, seminarrom java (2423)
This is a course for you that wants an introduction to machine learning in R focusing on classication, a type of supervised learning
The course is held over 2 half-days
Day 1: Wednesday 23. june 10:15 - 13:00, zoom
Day 2: Friday 25. june 10:15 - 13:00, zoom
Join us for the fifth dScience Brain Talk webinar with guest speaker Valter Uotila.
Learn about testing and improving the robustness of self-driving cars using Adversarial Deep Reinforcement Learning.
This is a course for you that wants an introduction to machine learning in R focusing on classification (supervised learning)
The course is held over 2 half-days
Day 1: Wednesday 27. october 10:15 - 13:00, zoom
Day 2: Thursday 28. october 10:15 - 13:00, zoom
Welcome to the dScience Breakfast Club, where researchers and others working within the thematic field can meet and discuss a chosen topic.
Join us for the dScience Brain Talk webinar with guest speaker Shayan Dadman.
Christian Alm Grindheim bruker data og maskinl?ringsmodeller til ? hindre skattekriminalitet og ? gj?re det lettere for vanlige innbyggere ? betale riktig skatt.
Vil du l?re ? bruke koding, ?konomisk teori og statistisk analyse for ? analysere viktige samfunnsrelevante sp?rsm?l? Bruk av algoritmer, stordata, maskinl?ring og koding er ferdigheter som blir stadig viktigere for samfunns?konomer.