Presenter: Tyler Hoff, Statistical Programmer/Data Analyst, University of Michigan
Price: Members: $49, Non-members: $79
Description: Ensuring accurate donor records is a vital task for any fundraising operation. But how do you ensure accuracy when information can be scattered, incomplete, or simply present in different forms? This webinar will cover the entity matching techniques in use at the University of Michigan and how they have evolved over the past two years, and what the future may hold.
- The use of machine learning algorithms like TF-IDF and Graph2Vec
- The use of technologies like Databricks and Spark
- Blind spots, strengths, and weaknesses of different types of entity matching