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
ヨシケイの撮り忘れを対策したPart2/measures-were-taken-to-prev...
Search
cottondesu
August 16, 2025
Science
55
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
ヨシケイの撮り忘れを対策したPart2/measures-were-taken-to-prevent-forgetting-to-pick-up-yoshikei-part2
cottondesu
August 16, 2025
More Decks by cottondesu
See All by cottondesu
在庫管理・買い物メモを作成中/creating-inventory-management-shopping-list
cottondesu
0
20
ヨシケイの取り忘れ対策した / Measures were taken to prevent forgetting to pick up Yoshikei
cottondesu
0
360
開発環境公開ハード編 / Development environment public hardware version
cottondesu
0
190
開発環境公開ソフト編 / Development environment public software edition
cottondesu
0
190
正規表現で心が折れた/Regular expressions broke my heart
cottondesu
0
190
オレオレGASからMakeへの移行を検討してみた / Considering the transition from Ore Ore GAS to Make
cottondesu
0
790
Kanazawa.rb 10周年KPT / Kanazawa.rb 10th Anniversary KPT
cottondesu
0
900
Kanazawa.rb 9周年KPT / Kanazawa.rb 9th Anniversary KPT
cottondesu
0
500
Mac Book Proのバッテリー交換してみた / I replaced the battery in my Mac Book Pro.
cottondesu
0
610
Other Decks in Science
See All in Science
ゲームと人工知能
miyayou
0
240
チュートリアル:世界モデル
hf149
0
2.3k
「表象」を再定義するー潜在表現解析の落とし穴
ykamit
0
690
不動産業界における業界特化のデータ整備とAI活用 ─Vertical DataとVertical AI─
estie
1
1k
20260820_アウトカムが二値のデータに対するCausal Impact@LINEヤフー Data Science Share #2 / Causal Impact for Binary Outcomes
brainpadpr
3
1.5k
データベース08: 実体関連モデルとは?
trycycle
PRO
0
1.7k
白金鉱業Meetup Vol.25 【初学者向け発表枠】「で、この施策って効いてるの」に答える効果検証の基礎 ~ATE / ATT / CATE / LATEを現場の問いに翻訳する~
brainpadpr
1
280
Where does the rigor go? Research software and the future of trustworthy science.
arfon
0
310
機械学習 - K近傍法 & 機械学習のお作法
trycycle
PRO
1
1.7k
自社のレビュー履歴からAIコードレビュアーをつくる方法
estie
0
380
Inside the Mind of an LLM
baggiponte
0
350
機械学習 - K-means & 階層的クラスタリング
trycycle
PRO
0
2.1k
Featured
See All Featured
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
440
Principles of Awesome APIs and How to Build Them.
keavy
128
18k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
254
22k
Deep Space Network (abreviated)
tonyrice
0
330
What does AI have to do with Human Rights?
axbom
PRO
1
2.4k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
56k
A better future with KSS
kneath
240
18k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.4k
Git: the NoSQL Database
bkeepers
PRO
432
67k
How People are Using Generative and Agentic AI to Supercharge Their Products, Projects, Services and Value Streams Today
helenjbeal
1
340
Designing Experiences People Love
moore
143
24k
Agile Actions for Facilitating Distributed Teams - ADO2019
mkilby
0
290
Transcript
ϤγέΠͷऔΓΕରࡦͨ͠ 1BSU ,BOB[BXBSCNFFUVQ ݄
!DPUUPO@EFTV 8FCΤϯδχΞݩෆΤϯδχΞ
ࡾݝSC-JHIUOJOH5BMLT JO,BOB[BXBͰͨ͠-5 ͷଓฤͰ͢
ΞδΣϯμ ϤγέΠΞϓϦͱʁ ෮श ༵ରԠ ·ͱΊ
ϤγέΠͱʁ
None
None
ϤγέΠΞϓϦͱʁ
ϤγέΠ͋ΔΑ ௨ΞϓϦ
Կ͔͠Β௨ͯ͠ )FSPLV -*/& ϓϩάϥϜ࣮ߦ औಘ݁Ռ ϤγέΠ8FC "1* εΫϨΠϐϯά "1* ࣮ߦ
༵ରԠ
w ༵ͷ࣌ʹ-*/&௨͕͘Δ
w ༵ͷ࣌ʹ-*/&௨͕͘Δ w ࣮ࡍͷ༵ۚʹୡ͞ΕΔ
w ༵ͷ࣌ʹ-*/&௨͕͘Δ w ࣮ࡍͷ༵ۚʹୡ͞ΕΔ औΓΕ͕ൃੜʂʂ
طʹରԠ͍ͯ͠Δͷʹ ͏·͘ಈ࡞͍ͯ͠ͳ͍
$ISPNFͷσϕϩούʔπʔϧͰίϐʔ
ςετίʔυͰਖ਼ৗऴྃ
ௐࠪ
༵Λ௨͢ΔΑ͏ʹରԠ ༵͕͏·͘औಘͰ͖͍ͯͳ͍
༵͕औಘͰ͖͍ͯͳ͍ ͷͰ༵ۚͷذ͕ࣦഊ
ཁૉͷৄࡉใΛ֬ೝ͢ΔσόοΫΛՃ
σόοΫ݁Ռ
w GDXFFLEBZཁૉଘࡏ͢Δ w JOOFS)5.-ͱUFYU$POUFYUʹʮۚʯ͕͋Δ w EJTQMBZFE GBMTF ཁૉ͕ඇදࣔ w
4FMFOJVNͷFMFNFOUUFYUϝιουදࣔ͞Ε͍ͯ ͳ͍ཁૉ͔ΒςΩετऔಘ͠ͳ͍༷ σόοΫ·ͱΊ
ඇදࣔཁૉ͔ΒςΩετΛऔಘ͢ΔΑ͏ʹमਖ਼
ແࣄɺؚ༵Ίͯ௨͞Εͨ ༵ۚʹ༵ۚɺ༵ͷΧʔτ௨͞Εͨ ࣮ޡΓΛमਖ਼ͯ͠ಈ࡞֬ೝ
·ͱΊ w ༵ରԠͷௐ͕ࠪେมͩͬͨ w 4FMFOJVNͷษڧʹͳͬͨ w ඇදࣔཁૉͷݟΛಘͨ w ࠓͦ͜ϤγέΠͷऔΓΕ͕ͳ͘ͳͬͨ