Data Science at ZestFinance with Marick Sinay
Data Skeptic12 Syys 2014

Data Science at ZestFinance with Marick Sinay

Marick Sinay from ZestFianance is our guest this weel. This episode explores how data science techniques are applied in the financial world, specifically in assessing credit worthiness.

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Jaksot(601)

Streetlight Outage and Crime Rate Analysis with Zach Seeskin

Streetlight Outage and Crime Rate Analysis with Zach Seeskin

This episode features a discussion with statistics PhD student Zach Seeskin about a project he was involved in as part of the Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship.  Th...

18 Heinä 201433min

[MINI] Experimental Design

[MINI] Experimental Design

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The Right (big data) Tool for the Job with Jay Shankar

The Right (big data) Tool for the Job with Jay Shankar

In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar.  The episode explores approaches and design philosophy to solving real world big data busin...

7 Heinä 201449min

[MINI] Bayesian Updating

[MINI] Bayesian Updating

In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most likely hypothesis might be true given one's older / prior belief and all new evidence.

27 Kesä 201411min

Personalized Medicine with Niki Athanasiadou

Personalized Medicine with Niki Athanasiadou

In the second full length episode of the podcast, we discuss the current state of personalized medicine and the advancements in genetics that have made it possible.

20 Kesä 201457min

[MINI] p-values

[MINI] p-values

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13 Kesä 201416min

Advertising Attribution with Nathan Janos

Advertising Attribution with Nathan Janos

A conversation with Convertro's Nathan Janos about methodologies used to help advertisers understand the affect each of their marketing efforts (print, SEM, display, skywriting, etc.) contributes to t...

6 Kesä 20141h 16min

[MINI] type i / type ii errors

[MINI] type i / type ii errors

In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii errors (a.k.a. false positives and false negatives).

30 Touko 201411min

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