[R-Meds] Landscape of feature engineering and hyperparameter tuning

We are meeting on Thursday October 3, 2019, at the Center for Health Informatics (5th floor, TRW Building, 3280 Hospital Dr NW, Calgary)! The door opens at 5:30 pm with pizza and soda for networking.

The meeting starts by Dr. Catherine Eastwood and Dr. Muir will give a talk.

Machine Learning techniques, while powerful, are very non-linear. Configuring the problem, choosing an appropriate algorithm and reaching an optimal solution makes this a complex task. Using an example of the calculation of NMR coupling constants, he will discuss the landscape of feature engineering and hyperparameter tuning, and maybe a bit about explainable models.

You may bring your own laptop to run the code in the session. R and Rstudio should be installed.

Short Biography: Dr. Muir combines operations research, customer demand patterns, product and supply chain design, process improvement, Lean Six Sigma, data science, and Business Intelligence. His business improvement process begins with an understanding of your most important business problems and ends with a meaningful and implementable plan for process change.

He has delivered operational excellence, business solutions and strategies to Energy, Resource and Manufacturing companies in diverse, multicultural and international settings.

• Over 20 years of experience in Operations, Supply Chain, Manufacturing, R&D, Fraud Detection, Risk Assessment, Engineering, Nuclear
• Lead development of Operational Excellence programs and governance for Fortune 50 companies
• Cost reductions and revenue enhancement >450$M
• Coached, mentored, and trained over 4,000 GE leaders. Instructor at GE’s corporate training facility in Crotonville, NY.
• Business Strategy Development – restructuring analysis of 300,000 people quoted by CEO in Wall Street Journal
• Conducted briefings and strategic planning meetings with federal cabinet ministers and C-level executive.
• Project management with global teams in 14 countries worldwide
• “Lean Six Sigma Statistics”, McGraw-Hill 2006, defines the organizational requirements of a successful operational excellence program at the executive level. It includes the lessons learned for conducting successful transactional improvement projects.
• Patented EDGE AI for solid state toxic gas detection

This event is supported by the Centre for Health Informatics (https://cumming.ucalgary.ca/centres/centre-health-informatics).