Machine Learning without a PhD
-
Relating to Machine LearningStefan Veis PennerupWednesday Apr 25, 10:15
-
Exploring StackOverflow DataEvelina GabasovaWednesday Apr 25, 11:15
-
Developing a ML modelKevin TsaiWednesday Apr 25, 13:00
-
Life and Death Decisions: Testing Data SciencePhil WinderWednesday Apr 25, 14:00
-
Production Model DeploymentJuliet HouglandWednesday Apr 25, 15:15
-
Delivering AI on Code: Live Demo of source{d}Francesc CampoyWednesday Apr 25, 16:15
Room 205-206
Topic Description
Machine Learning (ML) has been a buzz word in recent times even though it has been existing for decades! The talks in this track aim to give you a better grasp of the main concepts within ML and highlight some of the common considerations for ML projects including:
- Exploring data
- Developing a ML model
- Testing your ML model
- Deploying a ML model