![Cover image for How algorithms can diversify the startup pool : data-driven approaches can help venture capital firms limit gender bias and make better, fairer investment decisions Cover image for How algorithms can diversify the startup pool : data-driven approaches can help venture capital firms limit gender bias and make better, fairer investment decisions](/client/assets/5.1294/ctx//client/images/no_image.png)
How algorithms can diversify the startup pool : data-driven approaches can help venture capital firms limit gender bias and make better, fairer investment decisions
Title:
How algorithms can diversify the startup pool : data-driven approaches can help venture capital firms limit gender bias and make better, fairer investment decisions
Author:
Hernández, Morela, 1980- author.
Personal Author:
Physical Description:
1 online resource (1 volume)
General Note:
Place of publication from publisher's Web site.
"Reprint 61104."
Local Note:
O'Reilly
Subject Term:
Genre:
Electronic Access:
https://learning.oreilly.com/library/view/~/53863MIT61104https://learning.oreilly.com/library/view/~/53863MIT61109
https://go.oreilly.com/library-access/library/view/-/53863MIT61104/?ar
https://go.oreilly.com/library-access/library/view/-/53863MIT61109/?ar
https://learning.oreilly.com/library/view/~/53863MIT61104/?ar
https://learning.oreilly.com/library/view/~/53863MIT61109/?ar