06.06.2017 | Webinar
Lumagate (part of Innofactor) will present a webcast on Machine Learning predicting who dies in Game of Thrones Season 7.
We use historical data about the previous six seasons of the show to find what characterizes who died and who got to live. These trends are discovered by the algorithms and the resulting model is then applied to all living characters.
*SPOILER ALERT*: We will tell you with which likelihood each character is alive at the end of the season.
Join and see who we predict as still living by the end of season 7! We will keep you posted, if we were right or wrong, as the season unveiles!
The webcast will be supplemented with use cases of Machine Learning from other sectors. And we will talk about how one measures the quality of the model: How good do we expect its predictions to be?
Christian Vinter is heading Innofactor's machine learning team. He has a background in numerical astrophysics and has a ph.d. in the detection of planets around other stars. Other than physics, Christian has been working with machine learning in several sectors, everything from the financial sector to researching on drop-out rates at Universities, and many more interesting cases.