The data science machine : emulating human intelligence in data science endeavors
Name
971493308-MIT.pdf
Description
Full printable version
Size
7.51 MB
Format
Adobe PDF
Checksum (MD5)
32ea993447cd9ab6f14788c6ee675d00
Author(s)
Kanter, Max (James Max)
Advisor(s)
Kalyan Veeramachaneni.
Date Issued
2015
Publisher
Massachusetts Institute of Technology
Abstract
Data scientists are responsible for many tasks in the data analysis process including formulating the question, generating features, building a model, and disseminating the results. The Data Science Machine is a automated system that emulates a human data scientist's ability to generate predictive models from raw data. In this thesis, we propose the Deep Feature Synthesis algorithm for automatically generating features for relational datasets. We implement this algorithm and test it on 3 data science competitions that have participation from nearly 1000 data science enthusiasts. In 2 of the 3 competitions we beat a majority of competitors, and in the third, we achieve 94% of the best competitor's score. Finally, we take steps towards incorporating the Data Science Machine into the data science process by implementing and evaluating an interface for users to interact with the Data Science Machine.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 87-88).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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