Data and Science with Glen Wright Colopy is a podcast covering critical scientific reasoning, particularly from a data science / machine learning / statistics perspective. Episodes typically focus on understanding of how to be better scientists and critical thinkers for the practical purpose of being a better data scientists. Previously called: ”Pod of Asclepius”
Episodes
Tuesday Jun 01, 2021
Tuesday Jun 01, 2021
#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
Comments (0)
To leave or reply to comments, please download free Podbean or
No Comments
To leave or reply to comments,
please download free Podbean App.