Help

MLJS03 - Classification analysis with Azure Machine Leaning Service



Event Date 26 Jun 2019 (Wed), 01:30 PM - 04:30 PM
Venue LHN-LT, The Arc Learning Hub North, Basement 1 (Location Map)
Organiser NTU Library (Email : dst@ntu.edu.sg )


Event Info

Outline

  • Introduce different performance measures (cross-validation, confusion matrix, precision/recall, ROC curve) for classification analysis
  • Multiclass, Multilabel and Multioutput classification analyses with personalized news texts

 

Requirements

  • Basic knowledge of Python Programming
  • Participants who are joining this series for the first-time should refer to this document
  • Participants will need to bring their own laptops

 

Mode of Training

Classroom

 

Workshop Format

Lecture - 1 hr | Hands-on tutorial - 1.25 hr | Q & A – 0.5 hr

 

Trainer

Alvin Chew is currently a Microsoft Cloud Research Software Fellow and a final-year PhD candidate in School of Civil and Environmental Engineering, Nanyang Technological University.



Registration for this event has closed.