~/talk

DBTB INT Evion Kim r

on YouTube 05m
Talkat Data By the Bay 2016 · 2016-05-16..05-20· [machine-learning]

speaker

name:Evion Kim
links:none on file

resources

video:https://youtu.be/7UFs9UqUP2A
slides:none on file

summary

Machine learning engineer at Mattermark argues that shipping models requires engineering capacity, not just model ideas, and recommends checking team composition during hiring. The concrete method is to dice slice and dice it — decompose a business problem into ML subproblems and implement pipelines that integrate with production systems. Audience response is strong and the takeaway is practical: build deployable pipelines, or join teams that already have the engineers to do so.

AI-written summary · about

related talks

~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.