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
ロジスティック回帰で お金もらえるし職務経歴書は倍になる
Search
yush1ga
August 06, 2018
Programming
3.2k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
ロジスティック回帰で お金もらえるし職務経歴書は倍になる
yush1ga
August 06, 2018
More Decks by yush1ga
See All by yush1ga
日系大手と日系スタートアップと外資系で働いてみた
yush1ga
2
840
Other Decks in Programming
See All in Programming
dRuby over BLE
makicamel
2
340
Javaの型とAI時代に型が大事な理由 / java types and type in AI era
kishida
2
130
そのテスト、説明できますか?~LWテスト戦略FW~のご紹介
nakahara
0
110
決定論的オーケストレーションの設計と実装 / Design and Implementation of Deterministic Orchestration
nrslib
3
1.3k
Skillsは効率化、Agentsは"自分の拡張"——Builder時代のエージェント編成(CC Night 2026)
wemra
1
130
Observability in Practice:Grafana 與 Edge Device SRE 的那些事
blueswen
0
160
Lemonade + Foundry Toolkit でお手軽アプリ開発
seosoft
1
330
LLMによるContent Moderationの本番運用の裏側と品質担保への挑戦
suikabar
2
640
Creating Composable Callables in Contemporary C++
rollbear
0
130
Webフレームワークの ベンチマークについて
yusukebe
0
160
ふつうのFeature Flag実践入門
irof
7
3.9k
Spec Driven Development | AI Summit Lisbon
danielsogl
PRO
0
190
Featured
See All Featured
What Being in a Rock Band Can Teach Us About Real World SEO
427marketing
0
250
Facilitating Awesome Meetings
lara
57
7k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
32
2.9k
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.5k
The Language of Interfaces
destraynor
162
27k
ラッコキーワード サービス紹介資料
rakko
1
3.6M
Skip the Path - Find Your Career Trail
mkilby
1
150
The Cult of Friendly URLs
andyhume
79
6.9k
Music & Morning Musume
bryan
47
7.2k
4 Signs Your Business is Dying
shpigford
187
22k
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
200
How To Speak Unicorn (iThemes Webinar)
marktimemedia
1
480
Transcript
ϩδεςΟοΫճؼͰ ͓ۚΒ͑Δ͠৬ܦྺॻഒʹͳΔ ࢤլ ༏ؽ
• େखWebܥاۀۈ (20164݄~, ৽ଔೖࣾ) • Apache Pulsar Committer (20176݄~) •
ϑΝΠϯσΟגࣜձࣾ ػցֶशΤϯδχΞ (20177݄~, ۀҕୗ) • IDAKS٬һݚڀһ (201810݄~༧ఆ) ࢤլ ༏ؽ
࣍ • ϩδεςΟοΫճؼͰ͓ۚΒ͑Δ • ৬ܦྺॻͷ • ͦͷଞΑ͔ͬͨ͜ͱͷ
ϩδεςΟοΫճؼͷ
͓ͼ • λΠτϧͪΐͬͱΓ • ϩδεςΟοΫճؼඇ Deep ͷϝλϑΝʔ
ػցֶशͱͷผΕ • େֶӃͰը૾ೝٕࣝज़Λར༻ͨ͠ݚڀ • ब৬ޙେنϛυϧΣΞ։ൃ • େنͳ։ൃָ͔͕ͬͨ͠ ػցֶश͔ΒΕΔ͜ͱʹ
͘झຯͰऔΓΉ • Kaggleʁ • উͪʹߦ͘ͳΒը૾ೝࣝܥ • Deep LearningΔͨΊͷGPU͕ͳ͍
͘झຯͰऔΓΉ • ͱΓ͋͑ͣجૅΛݻΊΔ • λΠλχοΫͷ٬ͷੜࢮ • ΞϠϝͷछྨ • 28×28ͷखॻ͖ͷࣈ Λ
ແҙຯʹࣝผ͢Δʑ
Findyͱͷग़ձ͍ ϢʔβΠϯλϏϡʔʹͯ 'JOEZͷ͋Δʁ ˓˓ͱ✗✗Ͱ͔͢Ͷ ͦΕͬͯղܾͰ͖Δ ͏ʔΜɺͦΕʜ
ϩδεςΟοΫճؼʂ
ελʔτΞοϓͷػցֶशࣄ • ͦΕ΄Ͳେنͳσʔλ͕ͳ͍߹͕ଟ͍ ※ → Deep Learning ͋·Γඞཁ͕ͳ͍ • ͘ઙ͘ඇ
Deep ͳࣝΛ ษڧ͓͍ͯͨ͠ͷ͕Α͔ͬͨ ※ ࢲͷؾ࣋ͪͰ͋Γɼ౷ܭత༗ҙੑ͋Γ·ͤΜ
৬ܦྺॻͷ
ࢦ໊ऩότϧ ٯٻਓͷస৬αΠτͰ ࢦ໊ऩότϧ͠ͳ͍ʁ 2ळ
ࢦ໊ऩότϧ ͑͑Ͱʂ ϥϯνΛ͔͚͍ͨઓ͍͕։࠵ ͑͑Ͱʂ ͑͑Ͱʂ ͑͑Ͱʂ
2ळͷ৬ܦྺॻ 14݄ (ೖࣾ) 210݄ 110݄ ݚम ϓϩδΣΫτ1 ී௨ʹಇ͍͍ͯΔͱ ৬ܦྺॻʹॻ͚Δͷ͜ͷ1͚ͭͩ
෭ۀ͕͋Δͱ͖ 14݄ (ೖࣾ) 210݄ 110݄ ݚम ϓϩδΣΫτ1 27݄ (෭ۀ։࢝)
ϓϩδΣΫτ2 2ݸॻ͚ΔͷͰ৬ܦྺॻ2ഒʂ
݁Ռ ࠷ߴࢦ໊ऩ: 1Ґ ฏۉࢦ໊ऩ: 1Ґ ɹ ࢦ໊: 2Ґ
ࢦ໊ͷ༁ ػցֶशΤϯδχΞɾσʔλαΠΤϯςΟετ ػցֶशΠϯϑϥɾόοΫΤϯυ ϑϧελοΫ ෆ໌
ࢦ໊ͷ༁ ػցֶशΤϯδχΞɾσʔλαΠΤϯςΟετ ػցֶशΠϯϑϥɾόοΫΤϯυ ϑϧελοΫ ෆ໌ ۀͰػցֶशͬͯͳ͍ͷʹʂ
ͦͷଞྑ͔ͬͨ͜ͱͷ
ຊۀػցֶशؔ࿈ʹ • R&Dҟಈ • ෭ۀͷ͓͔͛Ͱ ϒϥϯΫͦΕ΄Ͳ͖ͭ͘ͳ͍ • ຊۀͷ͓͔͛Ͱ ֶੜ࣌ΑΓwell-organizedͳίʔυ͕ॻ͚Δ
͔ΘΓʹفΔ͕࣌ؒ૿͑ͨ "EBN͞Μ ͓ئ͍͠·͢
·ͱΊ • ελʔτΞοϓͰ DeepLearning ΑΓ ඇ Deep ͳख๏ͷํཱ͕͔ͭ • ෭ۀΛ͢Δͱ৬ܦྺॻ͕Εͯ
స৬׆ಈʹཱ͔ͭ • ຊۀͷٕज़͕෭ۀʹɺ෭ۀͷٕज़͕ຊۀʹ ཱͭ͜ͱ͕͋Δ
EOP