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
坂本勇人選手はいつ通算3,000安打を達成するか? AIに聞いてみました / Hayato S...
Search
Shinichi Nakagawa
PRO
December 13, 2020
Research
1
870
坂本勇人選手はいつ通算3,000安打を達成するか? AIに聞いてみました / Hayato Sakamoto Performance Prediction Using Feature Engineering with Machine Learning and Python
Sports Analytics Meetup #9 2020/12/13 LT
#Baseball #SABRmetrics #ML #Python
Shinichi Nakagawa
PRO
December 13, 2020
Tweet
Share
More Decks by Shinichi Nakagawa
See All by Shinichi Nakagawa
AI・LLM事業部のSREとタスクの自動運転
shinyorke
PRO
0
380
実践Dash - 手を抜きながら本気で作るデータApplicationの基本と応用 / Dash for Python and Baseball
shinyorke
PRO
2
2.8k
Terraform, GitHub Actions, Cloud Buildでデータ基盤をProvisioningする / Data Platform provisioning for Google Cloud and Terraform
shinyorke
PRO
2
3.2k
Cloud RunとCloud PubSubでサーバレスなデータ基盤2024 with Terraform / Cloud Run and PubSub with Terraform
shinyorke
PRO
9
3.9k
自らを強いエンジニアにするための3つの習慣 / I need to be myself, I can't be no one else
shinyorke
PRO
82
84k
阪神タイガース優勝のひみつ - Pythonでシュッと調べた件 / SABRmetrics for Python
shinyorke
PRO
1
1.4k
Pythonとクラウドと野球の推し活. / Baseball Data Platform for Python and Google Cloud
shinyorke
PRO
2
2.9k
月額コーヒー3.34杯分のコストでオオタニサンの活躍を見守るデータ基盤のはなし / Pyhack Con
shinyorke
PRO
2
510
俺のDXを実現するためのサーバレスなデータ基盤開発と運用 / Serverless Data Platform and Baseball
shinyorke
PRO
5
12k
Other Decks in Research
See All in Research
インドネシアのQA事情を紹介するの
yujijs
0
200
言語モデルによるAI創薬の進展 / Advancements in AI-Driven Drug Discovery Using Language Models
tsurubee
2
350
クラウドのテレメトリーシステム研究動向2025年
yuukit
3
920
CHaserWeb:ブラウザ上で動作する対戦型プログラミング学習環境の提案と評価 / i2025-inoue
yumulab
0
160
Trust No Bot? Forging Confidence in AI for Software Engineering
tomzimmermann
1
230
Transparency to sustain open science infrastructure - Printemps Couperin
mlarrieu
1
140
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
satai
3
170
Collaborative Development of Foundation Models at Japanese Academia
odashi
2
550
Computational OT #1 - Monge and Kantorovitch
gpeyre
0
150
Principled AI ~深層学習時代における課題解決の方法論~
taniai
3
1.2k
Vision Language Modelと完全自動運転AIの最新動向
tsubasashi
2
610
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
satai
3
160
Featured
See All Featured
We Have a Design System, Now What?
morganepeng
52
7.6k
Faster Mobile Websites
deanohume
307
31k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
34
3k
Building Applications with DynamoDB
mza
95
6.4k
StorybookのUI Testing Handbookを読んだ
zakiyama
30
5.8k
Site-Speed That Sticks
csswizardry
7
590
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
5
620
A designer walks into a library…
pauljervisheath
205
24k
Building Adaptive Systems
keathley
41
2.6k
Code Reviewing Like a Champion
maltzj
523
40k
How to Think Like a Performance Engineer
csswizardry
23
1.6k
Visualization
eitanlees
146
16k
Transcript
ӫޫͷഎ൪߸6⃣ ࡔຊ༐ਓ3,000ຊ҆ଧه೦LT Shinichi Nakagawa(@shinyorke) Sports Analyst Meetup #9 2020/12/13
ʁʁʁʮ༐ਓ·ͩ2,000ຊ҆ଧΖʯ
ͦͷͱ͓ΓͰ͍͟͝·͢, ࣦྱ͠·ͨ͠
ࡔຊ༐ਓ͍ͭ௨ࢉ3,000ຊ҆ଧΛ ୡ͢Δ͔AIʹฉ͍ͯΈ·ͨ͠ Shinichi Nakagawa(@shinyorke) Sports Analyst Meetup #9 2020/12/13
ຊͷςʔϚ • ࡔຊ༐ਓ͕͍ͭ͝Ζ௨ࢉ3,000ຊ҆ଧΛୡ͢Δ͔༧͢Δ • ਅ໘ͳ, ༧ଌͲ͜·ͰͰ͖Δ͔ࢼͯ͠ΈΔ • ʮӫޫͷഎ൪߸6⃣ࡔຊ༐ਓ3,000ຊ҆ଧͷಓʯ͕ Կޙʹ์ө͞ΕΔ͔Θ͔Δ΄͏͕͍͍ΑͶʢదʣ
Who am I ?ʢ͓લ୭Αʣ • Shinichi Nakagawaʢத ৳Ұʣ • େͷSNSͰʮshinyorkeʢ͠ΜΑʔ͘ʣʯͱ໊͍ͬͯ·͢
• JX Press Corporation Senior Engineer ʢJX௨৴ࣾ γχΞɾΤϯδχΞʣ • Baseball Engineer, Data Scientist ʢੜͷٿΤϯδχΞɾσʔλαΠΤϯςΟετʣ • Ҏલ͓ࣄͰٿΤϯδχΞʮͩͬͨʯਓ
ʲCMʳαʔόʔαΠυΠϯλʔϯืूͯ͠·͢ https://www.wantedly.com/projects/543767 ※ֶੜ͞ΜݶఆͰ͢&ผʹεϙʔπͷࣄͬͯ༁͡Όͳ͍Ͱ͢
26.4ඵͰৼΓฦΔ2020ͷϓϩٿ • ιϑτόϯΫϗʔΫεຊҰʢ4࿈ʣ • όϯςϦϯυʔϜφΰϠ&౦ژυʔϜͷձࣾ(ry • ࡔຊ༐ਓʢڊਓʣ, ӈଧऀͱͯ͠࠷গͰ2,000ຊ҆ଧୡ ͦͷଞʹ͍ͬͺ͍͋Δ͚ͲׂѪʢదʣ
ࡔຊ༐ਓબखͳΒ3,000ຊ҆ଧ༨༟Ͱ • 31ࡀ10ϲ݄Ͱͷୡӈଧऀ࠷ • গͳ͘ͱ͋ͱ4, 5ݱ͢ΔͰ͠ΐ γϣʔτͰݩؾʹΠέͯ·͢͠. • ͡Ό͍͋ͭࠒ3,000ຊ҆ଧΔͷ͞?
͜Εͬͯաڈͷσʔλ͔Β͏·͍۩߹ʹΕ༧ଌՄೳͰ? https://www.nikkansports.com/baseball/news/202011080000831.html
ͱ͍͏Θ͚Ͱ༧ଌϞσϧΛ࡞Γ·ͨ͠. ࠓճPyCon JP 2020ͰͬͨͭΛݩʹͪΐͬͱΞϨϯδͯ͠࡞Γ·ͨ͠. https://shinyorke.hatenablog.com/entry/baseball-and-ml-with-python
ࠓճͷΞϓϩʔνʢΊͬͪΌཁʣ • ϝδϟʔϦʔάͷσʔλΛͬͯ 1.࠷ۙ୳ࡧܥͷΞϧΰϦζϜͰ͍ۙબख୳͠ 2.֬ʢͬΆ͍ʣํ๏Ͱ༧ଌΛ࡞Δ • ↑ͷ݁ՌΛStreamlitͰՄࢹԽ
ͳͥϝδϟʔͷσʔλͳͷ͔ • 3,000ຊ҆ଧୡऀ, ຊϓϩٿҰਓ͔͍͠ͳ͍ʢ͠ʣ ※ʮ୭Ͱ͔͢ʁʯ࣭ͬͯ׃ͧ • ϝδϟʔେਖ਼ٛΠνϩʔ༷ଞ, 3,000ຊ҆ଧୡऀ͕ଟ͍. •
σʔλͷϥΠηϯε&εΫϨΠϐϯάͱ͔େมͰ͠ΐ.
ࡔຊ༐ਓʹ͍ۙϝδϟʔϦʔΨʔ ࢲʢshinyorkeʣ࡞, ʮzobristʯϞσϧͰग़ͨ݁͠Ռʢ΄΅ANNͰ͢ʣ ϝδϟʔϦʔάΛͬͯΔਓ͔ΒΈΔͱೲಘͷ݁ՌͩͱࢥΘΕ ໊͓લνʔϜ ʢ௨ࢉʣ ଧຊྥଧ௨ࢉ҆ଧ ಛͱ͔ 9BOEFS#PHBFSUT
ʢ3FE4PYʣ ଧ੮ӈଧ ௨ࢉ014 ݱ۶ࢦͷ߈ܸܕγϣʔτ %FSFL+FUFS ʢ:BOLFFTʣ ଧ੮ӈଧ આ໌ෆཁͷελʔ खʹݶΔͱ௨ࢉ҆ଧҐ 5SPZ5VMPXJU[LJ ʢ3PDLJFT FUDʜʣ ଧ੮ӈଧ ௨ࢉ014 ߈ܸܕγϣʔτ ͳ͓ຊڌ +JNNZ3PMMJOT ʢ1IJMMJFT FUDʜʣ ଧ੮྆ଧ कඋܕͳγϣʔτ ࣮ಇͷແࣄ೭໊അ
σϞ͠·͢
ࡔຊ༐ਓͷࠓޙ - ҆ଧɾຊྥଧɾଧ ࣅ͍ͯΔϝδϟʔϦʔΨʔXਓͷΛ75%λΠϧͰࢉग़
ࡔຊ༐ਓͷࠓޙ - ଧ ࣅ͍ͯΔϝδϟʔϦʔΨʔXਓͷΛ75%λΠϧͰࢉग़
ࡔຊ༐ਓͷࠓޙΛ·ͱΊΔͱ 2027ʢ38ࡀʣ·Ͱنఆଧ֬อͰ͖ΔͬΆ͍. ※نఆଧ443ଧ੮ʢ2019ͷࢼ߹143×3.1Ͱܭࢉ, ࢛ࣺޒೖʣ ྸ ଧ ҆ଧ ຊྥଧ
ଧ ଧ
ࡔຊ༐ਓબख, ௨ࢉʢ༧ଌʣ ͜ΕͰγϣʔτͩͬͨΒڧ͗͢Ͱʢ͑ʣ ظؒ ଧ ҆ଧ ຊྥଧ ଧ ଧ ·Ͱ
˞ݱ࣮ ˞༧ଌ ௨ࢉʢ༧ଌʣ
ߟ • 39ࡀ͝Ζʹ3,000ຊ҆ଧୡ…ͷϖʔε·͋·͋͋Γͦ͏. ͨͩ͠ྼԽආ͚ΒΕͳ͍. • 36ࡀ͔ΒͷٸܹྼԽकඋҐஔมߋͱ͔ͰઌԆ͠Ͱ͖ͦ͏. ʲࢀߟʳѨ෦৻೭ॿ36ࡀ͔Βัख->ϑΝʔετʹίϯόʔτ •
௨ࢉຊྥଧʢ༧ଌʣ321ຊ…334ຊߦͬͯཉ͍͚͠ͲͲ͏͔
͜ͷ͓͠·͍Ͱ͢…͕ʂʁ • ༧ଌϞσϧ࡞ΓηΠόʔϝτϦΫεແ͠ͰͰ͖ͳ͔ͬͨ • ʮRʹΑΔηΠόʔϝτϦΫεೖʯग़ͨ͠, ͜ͷลΛಛྔΤϯδχΞϦϯάతʹৼΓฦΓ͍ͨ • ͍ͬͯ͏ϩϯάτʔΫ͕Ͱ͖ͨΒ͍͍ͳ⚾
ʢҙ༁ɿࠓճંͬͨϞσϧͷΛ͍ͨ͠ʣ ӡӦͷօ༷, ͝ݕ౼ΑΖ͓͘͠ئ͍͠·͢
ήʔϜηοτ⚾ ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠. Shinichi Nakagawa(Twitter/Facebook/etc… @shinyorke)