Machine Learning and Financial Planning

John M. Mulvey

doi:10.1109/MPOT.2017.2737200

Machine Learning and Financial Planning

John M. Mulvey

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

One of the top recent events in machine learning (ML) involves Google's Alpha Go System beating the world's best player Ke Jie, while experts had predicted that Go (which is considered by many to be the world's most advanced board game) was too complex to be conquered by a computer for a decade or more. What are the main ideas underlying ML algorithms? What can be expected in the area of financial planning vis-a-vis ML? Will there be major disruptions in financial services?.

Original language	English (US)
Article number	8103126
Pages (from-to)	8-13
Number of pages	6
Journal	IEEE Potentials
Volume	36
Issue number	6
DOIs	https://doi.org/10.1109/MPOT.2017.2737200
State	Published - Nov 1 2017

All Science Journal Classification (ASJC) codes

Education
Strategy and Management
Electrical and Electronic Engineering

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10.1109/MPOT.2017.2737200

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Machine Learning and Financial Planning

Abstract

All Science Journal Classification (ASJC) codes

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