Edward McFowland III | Anomalous Pattern Detection & Model Building

#datascience #statistics Edward McFowland III | Anomalous Pattern Detection & Model Building Edward McFowland III (Harvard Business School) describes the differences between "anomalies" and "anomalous patterns". Edward describes how this informs modeling strategies, in particular, when to use an off-the-shelf model versus building a bespoke model from scratch. He then covers how to draw inspiration from different scientific and technical fields. 0:00 Edward: Live in Conference 2:00 Outliers vs Anomalies vs Anomalous Patterns 9:30 Strategy to Identify Anomalous Data Patterns 19:15 Adding Complexity to Models 25:00 Building Blocks vs Comprehensive Models 39:05 New Pieces of Evidence 40:40 Deciding Data Science Strategies 52:30 Connecting the Technical Dots 58:40 Interdisciplinary Interests