Machine Learning without a PhD
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Relating to Machine LearningStefan Veis PennerupWednesday Apr 25 @ 10:15 AM
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Exploring StackOverflow DataEvelina GabasovaWednesday Apr 25 @ 11:15 AM
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Developing a ML modelKevin TsaiWednesday Apr 25 @ 1:00 PM
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Life and Death Decisions: Testing Data SciencePhil WinderWednesday Apr 25 @ 2:00 PM
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Production Model DeploymentJuliet HouglandWednesday Apr 25 @ 3:15 PM
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Delivering AI on Code: Live Demo of source{d}Francesc CampoyWednesday Apr 25 @ 4:15 PM
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