Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Real World Machine Learning
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Yuichiro Someya
January 21, 2017
Programming
0
7k
Real World Machine Learning
Cookpad TechConf 2017 01/21
https://techconf.cookpad.com/2017/
Yuichiro Someya
January 21, 2017
Tweet
Share
More Decks by Yuichiro Someya
See All by Yuichiro Someya
にんげんがさき 基盤はあと / Developers over ML platform
ayemos
0
15k
機械学習をスモールスタートさせる方法 / small machine learning
ayemos
3
2.1k
アットホームな分析基盤の作り方 / Homemade Machine Learning Toolkits
ayemos
1
1k
サービス開発、機械学習、クラウド / the trinity of machine learning
ayemos
0
3.6k
成長を止めない機械学習のやり方 / Don't stop 'til you get enough (data).
ayemos
15
5.3k
AWS で加速する機械学習 / Accelerate Machine Learning with AWS
ayemos
1
350
クックパッドの機械学習基盤 2018 / Machine Learning Platform at Cookpad ~ 2018 ~
ayemos
15
21k
PyTorchとCaffe2とONNXと深層学習モデルのデプロイについて
ayemos
1
3k
クックパッドにおけるAWS GPUインスタンスの利用事例 / Powering by AWS GPU Instances in Cookpad Inc
ayemos
0
440
Other Decks in Programming
See All in Programming
The Past, Present, and Future of Enterprise Java
ivargrimstad
0
500
AgentCoreとHuman in the Loop
har1101
5
220
IFSによる形状設計/デモシーンの魅力 @ 慶應大学SFC
gam0022
1
300
20260127_試行錯誤の結晶を1冊に。著者が解説 先輩データサイエンティストからの指南書 / author's_commentary_ds_instructions_guide
nash_efp
0
910
React 19でつくる「気持ちいいUI」- 楽観的UIのすすめ
himorishige
11
6k
Kotlin Multiplatform Meetup - Compose Multiplatform 외부 의존성 아키텍처 설계부터 운영까지
wisemuji
0
190
AI前提で考えるiOSアプリのモダナイズ設計
yuukiw00w
0
220
生成AIを使ったコードレビューで定性的に品質カバー
chiilog
1
250
MDN Web Docs に日本語翻訳でコントリビュート
ohmori_yusuke
0
640
AI Schema Enrichment for your Oracle AI Database
thatjeffsmith
0
250
コントリビューターによるDenoのすゝめ / Deno Recommendations by a Contributor
petamoriken
0
200
AI によるインシデント初動調査の自動化を行う AI インシデントコマンダーを作った話
azukiazusa1
1
690
Featured
See All Featured
Have SEOs Ruined the Internet? - User Awareness of SEO in 2025
akashhashmi
0
270
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
250
Art, The Web, and Tiny UX
lynnandtonic
304
21k
Context Engineering - Making Every Token Count
addyosmani
9
650
Designing Experiences People Love
moore
144
24k
How to Think Like a Performance Engineer
csswizardry
28
2.4k
Automating Front-end Workflow
addyosmani
1371
200k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
450
Darren the Foodie - Storyboard
khoart
PRO
2
2.3k
Six Lessons from altMBA
skipperchong
29
4.1k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.2k
AI: The stuff that nobody shows you
jnunemaker
PRO
2
240
Transcript
Real World Machine Learning Cookpad TechConf 2017
BZFNPTNF છ୩༔Ұ<:VJDIJSP4PNFZB> ౦େେֶӃܭࢉֶઐ߈म࢜ ΫοΫύου৽ଔ ݚڀ։ൃ෦ UXJUUFS!BZFNPT@Z HJUIVCBZFNPT XFCBZFNPTNF
છ୩༔Ұ<:VJDIJSP4PNFZB>
BZFNPTNF BZFNPTNF
$PPLQBE5FDI$POG BZFNPTNF ΫοΫύο υ ʹ ͓ ͚ Δ σΟ
ʔ ϓ ϥ ʔ χ ϯάͷ Φ Ϟ ς ϥ $PPLQBE5FDI$POG BZFNPTNF
$PPLQBE5FDI$POG BZFNPTNF ΦϞς ද
$PPLQBE5FDI$POG BZFNPTNF
$PPLQBE5FDI$POG BZFNPTNF
$PPLQBE5FDI$POG BZFNPTNF ΈࠐΈχϡʔϥϧωοτϫʔΫΛར༻ͨ͠νʔϜ͕ѹউ *NBHF/FU-BSHF4DBMF 7JTVBM3FDPHOJUJPO $IBMMFOHF ݸͷΧςΰϦʹ͚ΒΕͨը૾ͷೝࣝਫ਼Λڝ͏ࠃࡍతίϯςετ $PPLQBE5FDI$POG BZFNPTNF
$PPLQBE5FDI$POG BZFNPTNF
$PPLQBE5FDI$POG BZFNPTNF ΫοΫύουݚڀ։ൃ෦ൃ
$PPLQBE5FDI$POG BZFNPTNF
$PPLQBE5FDI$POG BZFNPTNF ྉཧ͖Ζ͘ ެ։
$PPLQBE5FDI$POG BZFNPTNF εϚʔτϑΥϯͷࣸਅͷɺྉཧΛࣗಈతʹऩूʗه $BGGF/FUͷ'JOFUVOJOHʹΑΔྉཧը૾ೝࣝ ݄ݱࡏ ਓҎ্ͷϢʔβʔ͕ར༻
ຕҎ্ͷࣸਅΛఆ ྉཧ͖Ζ͘
$PPLQBE5FDI$POG BZFNPTNF σΟʔϓϥʔχϯάಋೖاۀ
$PPLQBE5FDI$POG BZFNPTNF ݚڀ։ൃ෦ͷൃ໊ͷ৫ σΟʔϓϥʔχϯάΛར༻ͨ͠ॳͷϓϩμΫτΛެ։ ΫοΫύουʷσΟʔϓϥʔχϯά ΦϞς
$PPLQBE5FDI$POG BZFNPTNF 63" ϥ
$PPLQBE5FDI$POG BZFNPTNF ڥͮ͘Γ
$PPLQBE5FDI$POG BZFNPTNF ܭࢉػڥͷվળ
$PPLQBE5FDI$POG BZFNPTNF ܭࢉػڥߏஙͷޮԽ
$PPLQBE5FDI$POG BZFNPTNF "NB[PO&$ͷ(16Πϯελϯε HQ Λը૾ೝࣝʹར༻ 6CVOUVUSVTUZ͔ΒखಈͰηοτΞοϓ ڥͷߏஙʗཧ͕େม
࣌ͷঢ়گ ܭࢉػڥߏஙͷޮԽ OPVWFBVͷແޮԽ OWJEJBESJWFSͷΠϯετʔϧ $6%"$6%//ͷΠϯετʔϧ $IBJOFS5FOTPSqPX$B⒎FͷΠϯετʔϧ ڥมͷઃఆ
$PPLQBE5FDI$POG BZFNPTNF ը૾ೝࣝλεΫʹඞཁͳڥΛશ෦ͤͨ͠".*Λ1BDLFSʹΑΓ࡞ खॱͷίʔυԽ ࣮ߦͷࣗಈԽ dఔͰ࡞ۀ։࢝ՄೳͳΦϯσϚϯυ(16ڥΛܧଓతʹ࣮ݱ
৽ͨͳϦαʔνϟʔʗσϕϩούʔΛεϜʔζʹड͚ೖΕՄೳ ܭࢉػڥߏஙͷޮԽ
$PPLQBE5FDI$POG BZFNPTNF .--VODI.-$MBTT
$PPLQBE5FDI$POG BZFNPTNF .--VODI෦һʹΑΔ࣋ͪճΓͰͷߨ ٛΛ िҰճ ࣮ࢪ ڧԽֶश $IBJOFS
"84 %BSL/FU "NB[PO-FY"MFYB .-$MBTT݄ҰճΛ҆ʹɺ֎෦͔Β ߨࢣΛট͍ͯߨٛΛ࣮ࢪ .--VODI.-$MBTT
$PPLQBE5FDI$POG BZFNPTNF ·ͱΊ
$PPLQBE5FDI$POG BZFNPTNF σΟʔϓϥʔχϯάΛར༻ͨ͠ϓϩμΫτΛެ։ ৫ͱͯ͠ܧଓతʹ͢Δҝͷڥͮ͘ΓʹऔΓΜͰ͍Δ ݚڀ։ൃڥͷΤϯδχΞϦϯάʹΑΔվળ ෦ͷࣝڞ༗ͳͲ࣌ؒΛͬͯ
ΫοΫύουʷσΟʔϓϥʔχϯά