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
MIRU 2019 Lunch on Seminar
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Hayato Maki
July 31, 2019
Research
1
280
MIRU 2019 Lunch on Seminar
Event URL:
https://sites.google.com/zozo.com/miru2019/
Hayato Maki
July 31, 2019
Tweet
Share
More Decks by Hayato Maki
See All by Hayato Maki
Billion-scale Embedding for E-commerce Recommendation in Alibaba
hamaki
0
110
Today was a Good Day: The Daily Life of Software Developers
hamaki
0
120
論文紹介:Relaxed Softmax for PU Learning
hamaki
3
1.1k
コーディネート整合性を考慮したカテゴリ間推薦
hamaki
0
1.2k
Regularization_The Element of Statical Learning
hamaki
0
200
Neural Activity During Sentence Processing as Reflected in Theta, Alpha, Beta, and Gamma Oscillations
hamaki
0
250
【ICML読み会】Unsupervised Deep Embedding for Clustering Analysis
hamaki
0
1.3k
Other Decks in Research
See All in Research
生成AI による論文執筆サポート・ワークショップ 論文執筆・推敲編 / Generative AI-Assisted Paper Writing Support Workshop: Drafting and Revision Edition
ks91
PRO
0
120
その推薦システムの評価指標、ユーザーの感覚とズレてるかも
kuri8ive
1
320
20251023_くまもと21の会例会_「車1割削減、渋滞半減、公共交通2倍」をめざして.pdf
trafficbrain
0
180
SREはサイバネティクスの夢をみるか? / Do SREs Dream of Cybernetics?
yuukit
3
390
Aurora Serverless からAurora Serverless v2への課題と知見を論文から読み解く/Understanding the challenges and insights of moving from Aurora Serverless to Aurora Serverless v2 from a paper
bootjp
6
1.5k
生成AIとうまく付き合うためのプロンプトエンジニアリング
yuri_ohashi
0
140
データサイエンティストの業務変化
datascientistsociety
PRO
0
220
社内データ分析AIエージェントを できるだけ使いやすくする工夫
fufufukakaka
1
900
AIスーパーコンピュータにおけるLLM学習処理性能の計測と可観測性 / AI Supercomputer LLM Benchmarking and Observability
yuukit
1
650
Agentic AI フレームワーク戦略白書 (2025年度版)
mickey_kubo
1
120
空間音響処理における物理法則に基づく機械学習
skoyamalab
0
190
第66回コンピュータビジョン勉強会@関東 Epona: Autoregressive Diffusion World Model for Autonomous Driving
kentosasaki
0
350
Featured
See All Featured
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.6k
Six Lessons from altMBA
skipperchong
29
4.2k
Git: the NoSQL Database
bkeepers
PRO
432
66k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
Groundhog Day: Seeking Process in Gaming for Health
codingconduct
0
94
Build your cross-platform service in a week with App Engine
jlugia
234
18k
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.1k
Visual Storytelling: How to be a Superhuman Communicator
reverentgeek
2
430
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
359
30k
Side Projects
sachag
455
43k
Between Models and Reality
mayunak
1
190
Agile that works and the tools we love
rasmusluckow
331
21k
Transcript
ϑΝογϣϯΛՊֶ͢ΔऔΓΈ ਅ༐ਓ ϦαʔναΠΤϯςΟετ גࣜձࣾ;0;0ςΫϊϩδʔζ
!2 ࣗݾհ גࣜձࣾ;0;0ςΫϊϩδʔζ ϦαʔναΠΤϯςΟετ ਅ༐ਓ ·͖ɹͱ dݱ৬ /"*45ใֶՊത࢜՝ఔमྃ ਪનγεςϜɺը૾ೝࣝͷݚڀ։ൃʹैࣄ
!3 ;0;0ͷ3%ମ੍ w 3%ͷઐ෦ॺʹਓ͕ॴଐʢ੨ࢁɿਓɺԬɿਓʣ w ݚڀΛ͍ͯ͠Δਓɺ։ൃΛ͍ͯ͠Δਓɺ྆ํ͕͍Δ w ݄ʹൃ ੨ࢁ Ԭ
!4 ͳͥϑΝογϣϯΛݚڀ͢Δͷ͔ w ୭͕ΛબͼɺΛணΔ ਓྨʹͱͬͯීวతͳςʔϚ w ϑΝογϣϯ࢈ۀڊେ ੈքͰஹԁͷࢢن
ήʔϜࢢɿஹԁɺөըࢢɿஹԁ
!5 ֶज़ݚڀʹ͓͚ΔϑΝογϣϯ w ༗ྗࠃࡍձٞͰϑΝογϣϯͷϫʔΫγϣοϓ͕։࠵ *$$7&$$7ɺ$713ɿը૾ೝࣝ ,%%ɿσʔλϚΠχϯά 3FD4ZTɿਪનγεςϜ
w ςʔϚଟ༷Խ͍ͯ͠Δ $713`ɿϑΝογϣϯʹ͓͚Δݕࡧɾಛදݱ &$$7`ɿࣗવݴޠ͔Βͷը૾Λੜ <&$$7`>
ࢲͨͪͷσʔλࢿ࢈
!7 ͷσʔλ w ԯຕҎ্ͷը૾ ΄΅ͯࣗࣾ͢ݿͰࡱӨ ౷Ұ͞ΕͨࡱӨ݅ • આ໌จɺૉࡐใɺֹۚͳͲɺ
ϒϥϯυͷखೖྗΑΔৄࡉͳ Ξϊςʔγϣϯ • ߪങϩά ͷʮങ͍ํʯʹؔ͢Δߴ࣭େྔͳσʔλ ϖʔδͷྫ
!8 ͷσʔλ • ຊ࠷େڃͷϑΝογϣϯίʔ σΟωʔτڞ༗αΠτը૾ • ༻ΞΠςϜͷλά͚ Έ߹Θͤ • ϋογϡλάɺίϝϯτ
ࣗવݴޠ • ϑΥϩʔɾϑΥϩϫʔͷωοτ ϫʔΫάϥϑ ͷʮண͜ͳ͠ʯʹؔ͢ΔϚϧνϞʔμϧͳσʔλ
!9 ͷσʔλ • ຊ࠷େڃͷϑΝογϣϯίʔ σΟωʔτڞ༗αΠτը૾ • ༻ΞΠςϜͷλά͚ Έ߹Θͤ • ϋογϡλάɺίϝϯτ
ࣗવݴޠ • ϑΥϩʔɾϑΥϩϫʔͷωοτ ϫʔΫάϥϑ ͷʮண͜ͳ͠ʯʹؔ͢ΔϚϧνϞʔμϧͳσʔλ
!10 ͷσʔλ • ຊ࠷େڃͷϑΝογϣϯίʔ σΟωʔτڞ༗αΠτը૾ • ༻ΞΠςϜͷλά͚ Έ߹Θͤ • ϋογϡλάɺίϝϯτ
ࣗવݴޠ • ϑΥϩʔɾϑΥϩϫʔͷωοτ ϫʔΫάϥϑ ͷʮண͜ͳ͠ʯʹؔ͢ΔϚϧνϞʔμϧͳσʔλ
!11 ͷσʔλ • ຊ࠷େڃͷϑΝογϣϯίʔ σΟωʔτڞ༗αΠτը૾ • ༻ΞΠςϜͷλά͚ Έ߹Θͤ • ϋογϡλάɺίϝϯτ
ࣗવݴޠ • ϑΥϩʔɾϑΥϩϫʔͷωοτ ϫʔΫάϥϑ ͷʮண͜ͳ͠ʯʹؔ͢ΔϚϧνϞʔμϧͳσʔλ
!12 ͜Ε·Ͱͷݚڀ w ίʔσΟωʔτͷఏҊ<*#*4.-`> ୯ҰͷΞΠςϜͰͳ͘ɺΞΠςϜͷू߹Λਪન͢Δ w ͷ$(දݱ w ܕ͔ΒίʔσΟωʔτΛݕࡧ
࢈ֶ࿈ܞͷ
!14 ࢈ֶ࿈ܞ ڞಉݚڀύʔτφʔ and more… େֶɾͦͷଞݚڀػؔͱͷڞಉݚڀΛਪਐ
!15 ͳͥ࢈ֶ࿈ܞͳͷ͔ w ଟ༷ͳσʔλɺଟ༷ͳधཁ͕͋Δ ը૾ɺࣗવݴޠɺάϥϑɺ࣌ܥྻɺιʔγϟϧλάɺϥϯΩ ϯάɺΞΫηεϩάʜ ݕࡧɾਪનɺࣗಈλά͚ɺधཁ༧ଌɺ$(දݱɺҟৗݕɺ
%Ϗδϣϯ w 3%෦ॺઃཱॳɺओʹը૾ͷݚڀΛ͍ͬͯͨ ଞͷઐՈͱڠྗ͢Δ͜ͱͰɺݚڀΛ͛Δ
!16 ͳͥ࢈ֶ࿈ܞͳͷ͔ w ޮՌతͳใ େֶͷݚڀऀͱ͕ٞͰ͖ΔϨϕϧͷݟɾٕज़ྗ Λ࣋ͭ͜ͱΛࣔ͢ ൃදΛ௨ֶͯ͡ձͷ࿐ग़Λ૿͠ɺ༏लͳֶੜʹ
Ϧʔν͢Δ w தظతͳࢹ࠲ʹཱͬͨݚڀ͕Ͱ͖Δ اۀͰͷݚڀظརӹʹͱΒΘΕɺࢹ͕ڱ͘ͳ Γ͍͢
!17 ڞಉݚڀΛ࣮ݱ͢Δ·Ͱ ͚ࣾͷίϛϡχέʔγϣϯ ͳͥ֎෦ػؔͱڠྗ͢Δͷ͔ ϦεΫʹݟ߹͏ϕωϑΟοτ͕͋Δ͜ͱΛઆ໌ ݸਓใͳͲɺ๏্ͷͷ֬ೝ ւ֎ͷ๏ͰอޢରͱͳΔՄೳੑͷ͋ΔσʔλΛআ֎
େྔͷσʔλΛɺޮΑ͘ɺ҆શʹ͢ (PPHMF#JH2VFSZͰσʔλΛऩूɾલॲཧ$MPVE4USBHFసૹ ఏܞઌͷେֶυϝΠϯʹݶͬͯΞΫηεΛڐՄ
!18 ·ͱΊ ϑΝογϣϯͷɺϏδωεɾݚڀͱʹ Γ্͕͍ͬͯΔɻ ࣾʹཷ·͍ͬͯΔଟ༷ͳσʔλΛ׆͔ͨ͢Ίɺ 3%ͷ෦ॺΛ্ཱͪ͛ͨɻ ݚڀྖҬ͕ଟذʹΔͨΊɺେֶͱͷ࿈ܞΛਪਐ ͍ͯ͠Δɻ