Calgary Section:
Complex systems, such as automobiles, contain many moving parts that can lead to failure from a variety of causes and failure modes. AI can utilize system data recorded over time to automatically alert us to imminent failure and identify root causes.
Decision Trees are a relatively simple and popular AI tool, that can quickly learn and assess key variables and their interactions which contribute to an outcome such as system failure. They are fast to create, easy to interpret and can help us identify failure modes.
In this webinar, we will look at the basics of decision tree modelling and consider a simple demonstration of its application to assess imminent failure in automobiles.
Speaker: Dr. Alexander Bell, Data Scientist, Integral Concepts.
Dr. Alexander Bell is a Data Scientist who develops AI applications and educational materials for Integral Concepts, Inc. (https://lnkd.in/gqAVeKvr). He also provides consultancy services for AI and statistical analysis. Alex has a Masters in Mathematics (MMath) and a Ph.D. in Data Science from the University of Leicester, UK (2012-2020). His academic background includes a 5-year postdoctoral role at the University of Michigan (2020-2025) in which he led international collaborations applying AI methods to clinical problems (https://lnkd.in/gfdrP43m).
Registration link: https://lnkd.in/gzYteHMa
Event's main sponsor is Calgary section. Edmonton is co-sponsoring.