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Machine Learning & AI Demystified for TV Advertising /

Presented by Diane Yu, CTO and Cofounder at FreeWheel, Comcast As the leading provider of financial and company data, Bloomberg has access to vast amounts of data on a daily basis. There are two common challenges when working directly with raw data. One is the need to discover and extract data repre...

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Bibliographic Details
Main Author: Salon, Data (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: Electronic Video
Language:Inglés
Published: Data Science Salon, 2019.
Edition:1st edition.
Subjects:
Online Access:Texto completo (Requiere registro previo con correo institucional)
Description
Summary:Presented by Diane Yu, CTO and Cofounder at FreeWheel, Comcast As the leading provider of financial and company data, Bloomberg has access to vast amounts of data on a daily basis. There are two common challenges when working directly with raw data. One is the need to discover and extract data represented in the natural document format that is not machine-readable. Another requirement is validating and ensuring that the data is of high-quality since it is required for building models for predictions, classifications, and various analytics tasks. This talk will cover ways in which data science and machine learning can be used to address these two challenges: (1) ingesting your data by extracting what is contained in natural document format and (2) cleaning your ingested data.
Physical Description:1 online resource (1 video file, approximately 26 min.)