010: Model Validation, Data Exhaust and Organisational Cultural Change with Yaw Tan

episode

Super Data Science: ML & AI Podcast with Jon Krohn not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

A.I. Safety Goes Mainstream + a ‘Hard Fork’ Exit AMA 1h 25m · 18 Sep 2026 · Hard Fork

Layoffs at the Kansas City Star will hurt local communities 15 min · 18 Sep 2026 · Kansas City Today

AWP: Beyond the Exam Room: Purpose, Myopia, and Population Health 54 min · 17 Sep 2026 · EyeCode Media

Planning Commission Meeting - Sep 17, 2026 1h 11m · 17 Sep 2026 · Leesburg Planning Commission

Heritage Commission - Sep 14, 2026 1h 57m · 17 Sep 2026 · Loudoun County Board Committees and Advisory Boards

Historic District Review Committee - Sep 14, 2026 1h 36m · 17 Sep 2026 · Loudoun County Board Committees and Advisory Boards

Report any issue

Source

Recorded10 Nov 2016

Publisherfeeds.megaphone.fm

Handlerec:6203377

Show notes

In this session of the Super Data Science Podcast, I chat with Senior Data Scientist Yaw Tan. You will learn about model validation and a lot more about modelling, get to know about the power of data exhaust and hear some thoughts about cultural change in organisations. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/10

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in