Edward McFowland III | Anomalous Pattern Detection & Model Building

<p>#datascience #statistics</p> <p>Edward McFowland III | Anomalous Pattern Detection & Model Building</p> <p>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.</p> <p>0:00 Edward: Live in Conference</p> <p>2:00 Outliers vs Anomalies vs Anomalous Patterns</p> <p>9:30 Strategy to Identify Anomalous Data Patterns</p> <p>19:15 Adding Complexity to Models</p> <p>25:00 Building Blocks vs Comprehensive Models</p> <p>39:05 New Pieces of Evidence</p> <p>40:40 Deciding Data Science Strategies</p> <p>52:30 Connecting the Technical Dots</p> <p>58:40 Interdisciplinary Interests</p>