csvconf: talks: 1 row where where abstract = "While algorithms and computing power get all the press, the special sauce behind many recent machine learning breakthroughs are meticulously labeled training data. Developing and maintaining these data sets as public goods is both an art and a science. In this talk I'll present a new set of best practices gleaned from interview with ~20 data set builders, maintainers, and funders. Topics include: encouraging collaboration between rival data teams; finding and addressing ethical issues with crowd labeling; launching competitions to spur data set use; and revenue generation models for sustainability.", datetime = "2019-05-08T16:00:00" and day = "May 8 2019" sorted by rowid

talks

1 row where abstract = "While algorithms and computing power get all the press, the special sauce behind many recent machine learning breakthroughs are meticulously labeled training data. Developing and maintaining these data sets as public goods is both an art and a science. In this talk I'll present a new set of best practices gleaned from interview with ~20 data set builders, maintainers, and funders. Topics include: encouraging collaboration between rival data teams; finding and addressing ethical issues with crowd labeling; launching competitions to spur data set use; and revenue generation models for sustainability.", datetime = "2019-05-08T16:00:00" and day = "May 8 2019" sorted by rowid

While algorithms and computing power get all the press, the special sauce behind many recent machine learning breakthroughs are meticulously labeled training data. Developing and maintaining these data sets as public goods is both an art and a science. In this talk I'll present a new set of best practices gleaned from interview with ~20 data set builders, maintainers, and funders. Topics include: encouraging collaboration between rival data teams; finding and addressing ethical issues with crowd labeling; launching competitions to spur data set use; and revenue generation models for sustainability. · 1 ✖

Link	rowid ▼	title	speaker	time	day	room	url	datetime	abstract	image
29	29	How to Feed Your Robot: Building and Maintaining Open Machine Learning Datasets	Evan Tachovsky	4:00 PM	May 8 2019	Daisy Bingham Room	https://csvconf.com/speakers/#evan-tachovsky	2019-05-08T16:00:00	While algorithms and computing power get all the press, the special sauce behind many recent machine learning breakthroughs are meticulously labeled training data. Developing and maintaining these data sets as public goods is both an art and a science. In this talk I'll present a new set of best practices gleaned from interview with ~20 data set builders, maintainers, and funders. Topics include: encouraging collaboration between rival data teams; finding and addressing ethical issues with crowd labeling; launching competitions to spur data set use; and revenue generation models for sustainability.	https://csvconf.com/img/speakers-2019/etachovsky.jpg

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How to Feed Your Robot: Building and Maintaining Open Machine Learning Datasets

Evan Tachovsky

4:00 PM

May 8 2019

Daisy Bingham Room

https://csvconf.com/speakers/#evan-tachovsky

2019-05-08T16:00:00

While algorithms and computing power get all the press, the special sauce behind many recent machine learning breakthroughs are meticulously labeled training data. Developing and maintaining these data sets as public goods is both an art and a science. In this talk I'll present a new set of best practices gleaned from interview with ~20 data set builders, maintainers, and funders. Topics include: encouraging collaboration between rival data teams; finding and addressing ethical issues with crowd labeling; launching competitions to spur data set use; and revenue generation models for sustainability.

https://csvconf.com/img/speakers-2019/etachovsky.jpg

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CREATE TABLE [talks] ( [title] TEXT, [speaker] TEXT, [time] TEXT, [day] TEXT, [room] TEXT, [url] TEXT, [datetime] TEXT, [abstract] TEXT, [image] TEXT )