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Unstructured Data for Finance

Unstructured Data for Finance

FromData Skeptic


Unstructured Data for Finance

FromData Skeptic

ratings:
Length:
34 minutes
Released:
Nov 11, 2016
Format:
Podcast episode

Description

Financial analysis techniques for studying numeric, well structured data are very mature. While using unstructured data in finance is not necessarily a new idea, the area is still very greenfield. On this episode,Delia Rusu shares her thoughts on the potential of unstructured data and discusses her work analyzing Wikipedia to help inform financial decisions. Delia's talk at PyData Berlin can be watched on Youtube (Estimating stock price correlations using Wikipedia). The slides can be found here and all related code is available on github.
Released:
Nov 11, 2016
Format:
Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.