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
石川雅規のことをもっと知ってもらいたいLT
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
kuma127
December 10, 2019
Research
1.5k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
石川雅規のことをもっと知ってもらいたいLT
12/10 Baseball Play Study
※画像はLT時のものを差し替えてます
kuma127
December 10, 2019
More Decks by kuma127
See All by kuma127
ReactPyを使ってreact likeにUIをPythonで実装する
kuma127
0
490
私と#pyhack
kuma127
0
350
配信チームの準備と当日進行について
kuma127
0
400
Beginning PyData with Django and Jupyter
kuma127
3
6k
DjangoとJupyterで捗るPyData
kuma127
1
1.7k
趣味駆動学習のススメ〜野球の場合〜
kuma127
0
360
プロスペクトをデータで紹介
kuma127
2
2.9k
気軽に手に入る成績データで野球分析をしてみた
kuma127
0
2.2k
Python is simple and deep
kuma127
0
83
Other Decks in Research
See All in Research
Vector Map as Language: Toward Unified Remote Sensing Vector Mapping
satai
3
300
Language and AI
ayaniwa
0
320
2026年 オープンキャンパス 研究室紹介
junkurihara
0
230
CVPR2026論文紹介_VLMにとって良いvision encoderとは何か?Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
kobayashi31
1
260
Anthropic が提案する LLM の内部状態を自然言語で説明可能にした Natural Language Autoencoders / Natural Language Autoencoders Produce Unsupervised Explanations of LLM Activations
shunk031
0
330
Model Predictive Control for Uncertain Systems: Robust & Data-Driven Designs
kohlerjohannes
0
130
研究室単位での自律的 IPv6接続性確立に向けたAS共同運用モデルの提案と実証
reokashiwa
PRO
0
230
Easy to Guess, Hard to Verify: Lessons from AIMO 3 for Olympiad-Level AI Mathematics
corochann
0
130
OWASP AISVS - C7
shiell
2
820
[IR Reading 2026春 論文紹介] LLM-based Listwise Reranking under the Effect of Positional Bias (ECIR 2026) /IR-Reading-2026-Spring
koheishinden
PRO
0
460
学術バーQ AI研究最前線:自己教師あり学習による画像モデルの事前学習
naok615
0
150
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
satai
2
110
Featured
See All Featured
Scaling GitHub
holman
464
140k
Git: the NoSQL Database
bkeepers
PRO
433
67k
Navigating Weather and Climate Data
rabernat
0
550
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
11
1.1k
How to Ace a Technical Interview
jacobian
280
24k
Stop Working from a Prison Cell
hatefulcrawdad
274
21k
Java REST API Framework Comparison - PWX 2021
mraible
34
9.8k
Building Applications with DynamoDB
mza
96
7.2k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
930
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
270
How To Speak Unicorn (iThemes Webinar)
marktimemedia
1
590
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
2
2.9k
Transcript
2019/12/10 ੴխنͷ͜ͱΛ ͬͱͬͯΒ͍͍ͨLT ͘·ͽ TwitterIDɿ@kumappp27
※ҙ ✤ ͜ͷεϥΠυར༻͍ͯ͠Δը૾ͷ্ؔ ൃද࣌ͱҟͳΔը૾ʢϑϦʔૉࡐʣʹࠩ͠ସ͍͑ͯ· ͢ ✤ ͦͷଞ༰ಉ͡
͓·͑୭Α ✤ ʮ͘·ͽʯͱ͍͍·͢ ✤ TwitterID:@kumappp27 ✤ ݹాPM͔࣌ΒͷͪͳϠΫ ✤ ੴखͱόοςϦʔΛΉ தଜัखͱಉ͍
✤ ؍ઓ͕ؒཉ͍͠ʢ࣮ʣ
ຊͷ͓
ੴխنͷ͜ͱΛ ͬͱͬͯΒ͍͍ͨLT
ࠓͷϠΫϧτͱ͍͑…
ʮଜ্ʯͱʮ16࿈ഊʯͱʮԞʯ ৽ਓԦʂ ٿͬͯͲ͏Ε উͯΔͷ͔ʁ ӕ͡Όͳ͍ ߴͷΨοπϙʔζ
…Ͱ͕͢
ࠓੴխنखͷ͜ͱΛ͠·͢ʂ ✤ ͝ଘʮখ͞ͳڊਓʯ ✤ ݱ࠷ଟͷ171উ ✤ ʢ͍͍ͷ͔ѱ͍ͷ͔ʣࠓ قνʔϜ࠷ଟͷ8উ ✤ ͪͳΈʹͦͷ͕༏উ
νʔϜͷڊਓ͔Β
ੴखͷ͕͜͜εΰΠʂ 1.খฑͳମ֨ͳ͕ΒҰઢڃͰډଓ͚͍ͯΔ 2.18ؒ΄ͱΜͲ1܉Ͱ͛ଓ͚͍ͯΔ 3.ଧߴٿͰͣͬͱ݁ՌΛग़͠ଓ͚͍ͯΔ ཁɺʮ༷ʑͳϋϯσʹෛ͚ͣ ܧଓͯ݁͠ՌΛग़͍ͯ͠Δʯͱ͜Ζʂ
খฑͳମ֨ͳ͕ΒҰઢڃͰډଓ͚͍ͯΔ ✤ 167cm19ݱࡏɺ 3൪ʹখ͍͞ ✤ ڈ160cmͰ།Ұͷ 1ԯԁϓϨΠϠʔͩͬͨ ✤ ࠓ9500ສ͕ͩɺ 160cmͰ૬มΘΒͣ
τοϓ ॱ બख໊ ٿஂ 1 ਫޱେ 163cm 2 ࢁେ ڊਓ ʢҭʣ 166cm 3 ੴխن ϠΫϧτ 167cm 3 ଞ8໊ 167cm ݱͷ͍ॱ
160cmͷ1ԯԁϓϨΠϠʔ͍͠ʁ ✤ աڈ10ʢ’10~’19ʣͰ1ԯԁϓϨΠϠʔͩͬͨબखͪ͜Β ฏܙҰʢݩΦϦοΫεɺࡕਆʣ ɿ169cm 1ԯˢͷɿ’11~’15 ୩ݩܓհʢݱதʣ ɿ167cm 1ԯˢͷɿ’17
ੴखͱ͍͏ͱ… ‘10~’19ͷதͰ1ԯˢͷɿ’10~’18 (’06,’07,’091ԯˢʣ
ੴखͷเਪҠ ✤ ͜͜10Ͱ1ԯԁ͔Βؕམͨ͠ͷࠓͷΈʂ ✤ ʲใʳࠓ1ԯԁϓϨΠϠʔʹฦΓ࡙͍ͨͱใಓ͕ ୯Ґɿສ
18ؒ΄ͱΜͲ1܉Ͱ͛ଓ͚͍ͯΔ ✤ 18ؒͰ’07Λআ͘શͯͷͰ ઌൃɿ20ࢼ߹Ҏ্ ٿճɿ100Ҏ্ ɹΛୡ ઌൃ ٿճ ’02
28 178.1 ’03 30 190 ’04 27 163.1 ’05 25 149.2 ’06 28 151 ’07 15 96.2 ’08 29 195 ’09 29 198.1 ’10 28 186.1 ’11 27 178.1 ’12 27 172.1 ’13 24 148.1 ’14 27 165 ’15 25 146.2 ’16 20 116.2 ’17 23 123.1 ’18 22 110.2 ’19 23 124.1 ֤ͷઌൃͱٿճ
ٿճͷมભ ✤ ؇͔ʹԼ͕Γͭͭ͋Δ͕ɺ͍࣋ͪͨ͑ͯ͜͜͜Δʂ
ٿͷ࣭ݟͯΈΔ ✤ Ұൠతʹٿͷ࣭ͷ҆ʹͳΔͷ͕ ʮ࢛ٿʯͱʮୣࡾৼʯ ✤ ੴखͷٿελΠϧతʹୣࡾৼͦ͏ ✤ ಉ͡ཧ༝Ͱ࢛ٿͦ͏
ୣࡾৼͷมભ ✤ 4.0~6.5ͱ͍͕ͩόϥπΩ͕͋Δ ✤ ͜͜࠷ۙࡾৼΛΑ͘ୣ͑ͯΔํͰ҆ఆ
࢛ٿͷมભ ✤ ڈΨΫοͱ্͕͕ͬͨɺࠓશظϨϕϧʹվળ ✤ ͜Ε͕෮׆ͷώϯτ͔ʁ
ಉ͡ϕςϥϯͱൺֱ ✤ 120উҎ্͍͋͛ͯΔ ’19ݱखͱ௨ࢉͷୣࡾৼɾ ࢛ٿΛൺֱͯ͠ΈΔ ✤ ൺֱ͢Δͷӈهखͨͪ ✤ ※ϝδϟʔͷআ͘ બख໊
উར ւ 133 ༚Ҫलষ 133 ాؽ 130 ۚࢠେ 128 ؛೭ 125 দࡔେี 114 ্ݪߒ࣏ 112 ؠ۾ٱࢤ 107 ֤ͷઌൃͱٿճ
ࡾৼୣ͑ͳͯ͘উͯΔΜͰ͢ ✤ ୣࡾৼଞͷબखͱ ൺͯେ͖͕ࠩ͋͘Δ ✤ ࢛ٿΓଞͷબख ΑΓΊ ✤ ্ݪબख͛͑͢ બख໊
ୣࡾৼ ࢛ٿ ੴխن 5.19 1.80 ւ 6.86 2.31 ༚Ҫलষ 6.56 2.68 ాؽ 8.23 2.39 ۚࢠେ 7.63 2.38 ؛೭ 7.74 2.22 দࡔେี 8.67 3.31 ্ݪߒ࣏ 7.96 1.20 ؠ۾ٱࢤ 6.86 2.00 ֤બखͷୣࡾৼͱ࢛ٿ
ଧߴٿͰͣͬͱ݁ՌΛग़͠ଓ͚͍ͯΔ ✤ ਆٶڱ͍ɺϑΣϯε͕͍ ͷཁҼͰ͔ͳΓଧऀ༗རͷٿ ✤ HRʹؔͯ͠ಛʹຖߴ͍PF ʢύʔΫϑΝΫλʔʣΛه ✤ ͜Μͳखٽ͔ͤͷٿͰҰઢ ΛுΓଓ͚Δͷฒେͷ͜ͱ
Ͱͳ͍ʢͣʣ ಘ HR ’15 0.96 1.44 ’16 1.13 1.75 ’17 1.41 1.67 ’18 1.41 1.78 ’19 1.07 1.40 ਆٶٿͷύʔΫϑΝΫλʔ
༨ஊͰ͕͢… ✤ ͦΜͳਆٶ͕ͩͨ·ʹͦΜͳ ଧߴ͡Όͳ͍͕͋Δ ✤ ‘17’18ͱൺͯ ’19ͷಘPF͕͍͕ɺ ͜ΕਓࣳΛுΓସ͑ͨ͜ ͱʹΑΔӨڹͷՄೳੑ͋Γ ✤
ಉ͘͡షΓସ͑ͨ’15PFΛ ه͍ͯ͠Δ
ਓࣳͷྼԽʹҙ… ✤ ’17’18ͷߴPFࣳͷྼԽ͕ݪҼઆ ʢຏʹΑΓΓ͘͢ͳΔʣ ✤ ·ͨߴPFʹΔͱ’17,’18ͱಉ͡Α ͏ʹෆৼʹؕΔՄೳੑ ✤ ࢀߟఔʹ’17ͱ’19ୣࡾৼͱ ࢛ٿ͕͞΄ͲมΘΒͳ͍ͷʹɺ
ਆٶͰͷඃଧ͕େ͖͘ҧ͏ ‘17 ‘19 ඃଧ .351 .242 ޚ 7.16 3.99 ٿճ 55.1 47.1 ਆٶͰͷ
ଞʹޠΓ͍ͨ͜ͱ͕͋ΔΜͰ͢ ✤ ଟ࠼ͳมԽٿΛૢΔͱ͜Ζͱ͔ʢ࣋ͪۄνΣϯδ ΞοϓɺγϯΧʔɺγϡʔτɺεϥΠμʔɺΧʔϒ ɺ ΧοτϘʔϧͷ6ͭʂʣ ✤ 21ੈلҎ߱ೖஂબखͰॳͷ200উखʹͳΕΔՄೳੑ ͱ͔ʢถ௨ࢉͳΒϚʔ܅ͷํ͕ૣͦ͏͚ͩͲʣ ✤
͕࣌ؒͳ͍ͷͰͦΕΒׂѪ…
࠷ޙʹΤϞ͍͍ͨ͠ ✤ ݸਓతʹҰ൪ҹʹͬͯΔͷ ༏উͨ͠ ✤ ϚδοΫ౮ͤͨ͞ࢼ߹Ͱɺ2 લʹ38ͷ※͕͋Γͳ͕Βத4 Ͱੁͱͷ͛߹͍Λ੍͍ͨ͠ ✤ 14Ͱॳ༏উ
✤ དྷ40ࡀɺ 19ͰॳͷຊҰΛʂ ※ࢀߟ http://column.sp.baseball.findfriends.jp/?pid=column_detail_amp&id=015-20151123-07
Special Thanks! ✤ ࠓճҰ෦σʔλΛҾ༻͖ͤͯ͞·ͨ͠αΠτ༷Λհ͠·͢ ✤ ϓϩٿσʔλFreakʢͷσʔλͳͲʣ https://baseball-data.com/ ✤ σʔλͰָ͠Ήϓϩٿʢ௨ࢉͳͲʣ https://baseballdata.jp/
✤ ຊϓϩٿRCAA&PitchingRun·ͱΊblogʢύʔΫϑΝΫλͷ σʔλਪଌͳͲʣ https://ranzankeikoku.blog.fc2.com/
·ͱΊ ✤ ੴखͷੌ͞ʮܧଓྗʯʹ͋Δ ✤ ༷ʑͳཁҼʹෛ͚ͳ͍ʮਫ਼ਆྗʯ͜Ε·ͨૉΒ ͍͠ ✤ ਆٶຖਓࣳுΓସ͑ͯ͘Εʂ
͝੩ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠ʂ