PodParley PodParley
PodParley
[69] Predictive mean matching and imputation - השלמת ערכים חסרים איטרטיבית

EPISODE · Jun 14, 2024 · 8 MIN

[69] Predictive mean matching and imputation - השלמת ערכים חסרים איטרטיבית

from ExplAInable · host Tamir Nave, Mike Erlihson, Uri Goren, Hila Paz Herszfang

ערכים חסרים הם נחלתו של כל מי שעוסק בעיבוד מידע טבלאי, הפעם נתמקד בהשלמת ערכים רציפים עם Predictive mean matching.אחת השיטות הנפוצות MICE, לא היתה זמינה עד לאחרונה למשתמש פייתון - וכעת נמצאת במודול הexperimental של scikit learn.נעשה סקירה קצרה על מתי כדאי להשלים ערכים חסרים ומתי לא, ונדבר על השיטות הנפוצות להשלמה.

NOW PLAYING

[69] Predictive mean matching and imputation - השלמת ערכים חסרים איטרטיבית

0:00 8:28

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

Hollowing of the Human Abstraction Stack

May 11, 2026 ·21m

Reclaiming Cognition from the Slop Firehose

May 10, 2026 ·20m

Teenagers- Explore Before You Decide

May 9, 2026 ·18m

The Career Plan Is No Longer Fit-for-Purpose

May 8, 2026 ·25m

For 200+ Years, Capitalism Needed Humans

May 7, 2026 ·18m

Zrobiłem wszystko dobrze. I tak mnie okradli.

May 3, 2026 ·24m

Similar Podcasts

Spatial Web AI Podcast Denise Holt Active Inference AI & the Spatial Web The Future of AI is shared, distributed, and multi-scale.AI that is knowable, explainable, and capable of human governance.Based on the same mechanics as biological intelligence, it operates in a naturally efficient way, with no big data requirement.This is Active Inference AI & the Spatial Web. Trustworthy AI : De-risk business adoption of AI Pamela Gupta Description:  Creating AI Trust is a very complex and hard problem. It is not clear what it is and how it can be operationalized.  We will demystify what is Trustworthy AI, efficient adoption and leveraging it for reducing risks in AI programs.McKinsey reports indicates companies seeing the biggest bottom-line returns from AI—those that attribute at least 20 percent of EBIT or profitability to their use of AI—are more likely than others to follow Trustworthy AI best practices, including explainability. Further, organizations that establish digital trust among consumers through responsible practices such as making AI explainable are more likely to see their annual revenue and profitability grow at rates of 10 percent or more. Evidence → Cognition → Discernment™️ - Your Pathway to AI Leadership Greg Twemlow XperientialAI — Pathway to AI Leadership explores how people can collaborate with AI without outsourcing judgment. The spine is a three-step method: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Through essays, reflections, and practical examples, I show how the Context & Critique Rule™ keeps thinking visible, decisions explainable, and responsibility human. Known Unknowns Known Unknowns Known Unknowns podcast explores unexplainable mysteries. We discuss the things that lie on the fringes of reality. Things that we know that are unknown.Ghosts, Folklore, Conspiracies, and everything else that lies outside the realm of the explainable...Because it's weird out there.
URL copied to clipboard!