Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
機械学習を用いた大相撲千秋楽の勝敗予想 / sumo prediction by machin...
Search
Shotaro Ishihara
August 24, 2019
Technology
2.3k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
機械学習を用いた大相撲千秋楽の勝敗予想 / sumo prediction by machine learning
Sports Analyst Meetup #4 (
https://spoana.connpass.com/event/138392/
) での発表資料。
Shotaro Ishihara
August 24, 2019
More Decks by Shotaro Ishihara
See All by Shotaro Ishihara
Agent 時代の Kaggle 展望 / kaggle-in-the-agentic-era
upura
1
1.2k
大規模言語モデルは誰を覚えているか / Who Do Large Language Models Memorize?
upura
0
180
[ACL 2026 Demo] Fast-MIA: Efficient and Scalable Membership Inference for LLMs
upura
0
130
Fast-MIA: Efficient and Scalable Membership Inference for LLMs
upura
0
83
JAPAN AI CUP Prediction Tutorial
upura
2
1.4k
情報技術の社会実装に向けた応用と課題:ニュースメディアの事例から / appmech-jsce 2025
upura
0
440
日本語新聞記事を用いた大規模言語モデルの暗記定量化 / LLMC2025
upura
0
800
Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora
upura
1
140
JOAI2025講評 / joai2025-review
upura
0
1.8k
Other Decks in Technology
See All in Technology
What the customer really needed
kawaguti
PRO
3
210
リアーキテクチャ後の障害ゼロを目指したShadow Testingの取り組み
nihonbuson
PRO
1
130
【技術的負債conf】事業成長に伴う技術的負債の説明責任とAIによるモニタリング、認知的負債について
i35_267
3
1.7k
その Lambda、8分で 管理者権限まで奪われます
k1nakayama
6
2.9k
synctest時代のhttptest Go 1.27で変わるHTTPサーバテストの裏側 / go conference2026 synctest and httptest
budougumi0617
1
3k
積み重なった技術負債への挑戦 〜初手としての全社ゴト化〜
techtekt
PRO
0
1.3k
AIに任せた品質は、誰が見立てるのか - AI時代のテストマネジメント
nakanao
3
2k
30座EKS, 180次升級淬煉的EKS Upgrade Skill 的歷程
eric8230
0
170
ADKで始める業務改善 - AIエージェント開発時の考えと設計
harappa80
2
170
フルカイテン株式会社 エンジニア向け採用資料
fullkaiten
0
12k
研究開発部の紹介 / Sansan R&D Profile
sansan33
PRO
5
25k
JSONataとAWS Step Functionsで目指すRuntimelessな世界
mu7889yoon
0
120
Featured
See All Featured
Facilitating Awesome Meetings
lara
57
7.1k
We Have a Design System, Now What?
morganepeng
55
8.3k
BBQ
matthewcrist
89
10k
How to train your dragon (web standard)
notwaldorf
97
6.8k
職位にかかわらず全員がリーダーシップを発揮するチーム作り / Building a team where everyone can demonstrate leadership regardless of position
madoxten
69
65k
Impact Scores and Hybrid Strategies: The future of link building
tamaranovitovic
0
440
Marketing to machines
jonoalderson
1
5.8k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Un-Boring Meetings
codingconduct
0
420
Leading Effective Engineering Teams in the AI Era
addyosmani
9
2.6k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
16k
sira's awesome portfolio website redesign presentation
elsirapls
0
410
Transcript
ػցֶशΛ༻͍ͨ େ૬ઍळָͷউഊ༧ V !VQVSB "VHUI 4QPSUT"OBMZTU.FFUVQ
V ͷඋ • େ૬ͷσʔλऩूʮ4VNP3FGFSFODFʯ͕ศར • ʲՄࢹԽฤʳػցֶशΛ༻͍ͨେ૬ઍळָͷউഊ༧ • ʲϕϯνϚʔΫฤʳػցֶशΛ༻͍ͨେ૬ઍळָͷউ ഊ༧ •
ʲಛྔͷՃฤʳػցֶशΛ༻͍ͨେ૬ઍळָͷউ ഊ༧ (JU)VC • IUUQTHJUIVCDPNVQVSBTVNPQSFEJDUPS ϦϯΫू
࣍ • എܠˍత • σʔλͷऔಘ • ػցֶशϞσϧͷ࡞ • ಛྔͷՃ
• ݁ˍࠓޙͷల
• V !VQVSB • ࣄۀձࣾͷσʔλαΠΤϯςΟετ • TQPBOBӡӦ • ΘΜͺ͘૬໊ݹॴϕετ
࿈ଓ • ,BHHMF.BTUFS "U$PEFS ਫ ࣗݾհ
• ૬ͷσʔλΛ༻͍ͯɺػցֶशͰ ༧ଌϞσϧΛߏஙͰ͖ͳ͍͔ʁ • ૬ͷྗ࢜ใͰͳ͘ɺউͪෛ͚ ͷ࣌ܥྻใ͔Β༧ଌͯ͠Έ͍ͨ • ˞झຯͳͷͰશͳख๏υϦϒϯ ૬
º ,BHHMF
উͪෛ͚ͷ࣌ܥྻใ ˓˔˔˔˓ ˓˔˓˔˔ ˔˓˔˔ʁ ˔˓˓˓˓ ˔˔˓˔˓ ˓˔˔˓ʁ
࣍ • എܠˍత • σʔλͷऔಘ • ػցֶशϞσϧͷ࡞ • ಛྔͷՃ
• ݁ˍࠓޙͷల
• IUUQTVNPECTVNPHBNFTEF • TQPBOB Ͱͬͨ • ૬ͷ֤छσʔλ͕ཧ͞Ε͍ͯΔ • ྗ࢜ •
൪ • औΓΈ ͳͲ 4VNP3FGFSFODF
• 1ZUIPOͰඵ͝ͱʹॴͷσʔλ ΛऔಘɾՃͯ͠DTWͰอଘ • ʙͷσʔλ औಘ
• ྗ໊࢜ • ʙͷউഊ • ઍळָͷରઓྗ࢜ • ॴʢZZZZNNʣ • ઍळָͷউഊʢతมʣ
σʔλ߲
σʔλͷՄࢹԽ
• উഊͷ߹ͷউ͕ʢউഊ উഊͷ߹ʹൺͯʣߴ͍ • ·Ͱʹʙউ͍ͯ͠Δ ߹উ͕ΑΓߴ͍ • ˞ʮീඦʯͷٞΛ͢Δʹ ѻ͍ͬͯΔใྔ͕গͳ͗͢Δ
ߟ
࣍ • എܠˍత • σʔλͷऔಘ • ػցֶशϞσϧͷ࡞ • ಛྔͷՃ
• ݁ˍࠓޙͷల
σʔλͷׂ
• ྗ໊࢜ • ʙͷউഊ • ऴྃ࣌ͷউͪ • ઍळָͷରઓྗ࢜ • ॴʢZZZZNNʣ
• ઍळָͷউഊʢతมʣ ಛྔɾతม
• -JHIU(#.ʢ,BHHMFͰఆ൪ʣ • ܾఆΛେྔʹ࡞Δྨث • ಛྔ͕গͳ͍ͷΛҙࣝͯ͠ɺϋΠ ύʔύϥϝʔλΛखಈͰௐͨ͠ ػցֶशΞϧΰϦζϜ
• $7είΞɺ"6$ • UFTUɺ"6$ "$$ $7UFTUͷྨੑೳ
࣍ • എܠˍత • σʔλͷऔಘ • ػցֶशϞσϧͷ࡞ • ಛྔͷՃ
• ݁ˍࠓޙͷల
• ྗ໊࢜ • ʙͷউഊ • ·Ͱͷউͪ • ରઓྗ࢜ͷ·Ͱͷউͪ • ઍळָͷରઓྗ࢜
• ॴʢZZZZNNʣ • ઍळָͷউഊʢతมʣ ಛྔɾతม
• $7είΞɺ"6$ • UFTUɺ"6$ ɺ"$$ $7UFTUͷྨੑೳ
• ʮ·Ͱͷ࿈উɾ࿈ഊʯ $7UFTUͷྨੑೳͱʹඍ૿ • ͦͷଞͷ࣌ܥྻಛΛ lUTGSFTIzͰ େྔʹੜʢݸऑʣ͠ݸ࠾༻ ˠ$7UFTUͷྨੑೳ͕վળͤͣ ૣʑʹߦ͖٧·Δɾɾɾ
IUUQTUTGSFTISFBEUIFEPDTJPFOMBUFTU
࣍ • എܠˍత • σʔλͷऔಘ • ػցֶशϞσϧͷ࡞ • ಛྔͷՃ
• ݁ˍࠓޙͷల
• ػցֶशΛ༻͍ͯɺେ૬ઍळָͷ উഊΛ༧ͨ͠ • -JHIU(#.ϕʔεͰಛྔΛ૿͠ ͍ͯ͘ํ๏ʹݶք͕͋Γͦ͏ • ˞ͦͦ͜ͷใͰ༧Ͱ͖Δ͔ ୭ʹ͔Βͳ͍
݁
• ผͷػցֶशϞσϧΛࢼ͢ • উͪෛ͚ͷʮʯͷྲྀΕΛ 3//ʹೖΕΔ͜ͱͰɺௐࢠͷΛ ଊ͑ΒΕΔʁ • ࣍ճҎ߱ɺ·ͨൃද͠·͢ ࠓޙͷల