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
機械学習を⽤いた⽇経電⼦版Proのユーザ分析 / Data Analysis in Nikke...
Search
Shotaro Ishihara
January 22, 2019
Business
11k
8
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
機械学習を⽤いた⽇経電⼦版Proのユーザ分析 / Data Analysis in Nikkei using Machine Learning
Data Driven Developer Meetup #4 (#d3m) での発表資料
https://d3m.connpass.com/event/115217/
Shotaro Ishihara
January 22, 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
1.4k
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
220
[ACL 2026 Demo] Fast-MIA: Efficient and Scalable Membership Inference for LLMs
upura
0
150
Fast-MIA: Efficient and Scalable Membership Inference for LLMs
upura
0
100
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
460
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
840
Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora
upura
1
150
JOAI2025講評 / joai2025-review
upura
0
1.9k
Other Decks in Business
See All in Business
新卒採用向け説明資料
kazumakitao
PRO
1
4.1k
採用デック
roms
0
210
コンテキストをデータとして扱うDynatraceのAIアーキテクチャ
sukatsu1222
1
170
KGモーターズ会社紹介資料_2026.10
kgmotors
0
32k
Шпаргалка менеджера: перші 30 днів на новій посаді | Презентація вебінару з Альоною Лубчак
e5ua
0
220
アカウント営業_候補者様向け資料
mayu1001
0
140
トヨタの販売店 DX の最前線で、生成 AI と内製開発で挑む
kintotechdev
0
160
Infcurion Company Deck
infcurion
2
69k
Crisp Code inc.|わたしたちの事例 / 実績 - Works
so_kotani
0
2.4k
【Progmat】Monthly-ST-Market-Report-2026-Sep.
progmat
0
350
変化の時代に自分のハンドルを握る ── イチから始めるセルフマネジメント/Self-Management in the Winds of Change
ikuodanaka
2
310
誰かの役に立つアウトプットの作り方〜学びの循環に飛び込もう!
ikuodanaka
10
3.9k
Featured
See All Featured
Why Mistakes Are the Best Teachers: Turning Failure into a Pathway for Growth
auna
0
330
What Being in a Rock Band Can Teach Us About Real World SEO
427marketing
0
1.1k
The agentic SEO stack - context over prompts
schlessera
0
970
Accessibility Awareness
sabderemane
1
250
DevOps and Value Stream Thinking: Enabling flow, efficiency and business value
helenjbeal
2
410
How to Build an AI Search Optimization Roadmap - Criteria and Steps to Take #SEOIRL
aleyda
1
2.2k
Visual Storytelling: How to be a Superhuman Communicator
reverentgeek
2
720
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
baasie
0
730
Utilizing Notion as your number one productivity tool
mfonobong
4
620
Highjacked: Video Game Concept Design
rkendrick25
PRO
1
490
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
410
Java REST API Framework Comparison - PWX 2021
mraible
34
9.8k
Transcript
ػցֶशΛ༻͍ͨ ܦిࢠ൛1SPͷϢʔβੳ ຊܦࡁ৽ฉࣾ ੴݪↅଠ %BUB%SJWFO%FWFMPQFS.FFUVQ +BOOE
ٕज़ॻయͰࣥචɾެ։ ٕज़ॻయ̑Ͱ൦ͨ͠ܦిࢠ൛ͷٕज़ॻΛ࠶ൢ͠·͢ɻ IUUQTOPUFNVOJLLFJ@TUBGGOODCBC • ୲ͨ͠ୈষʮػցֶशΛ༻͍ͨܦిࢠ൛1SP ͷϢʔβੳʯશͯແঈެ։த
ຊͷ • ࣗݾհ • σʔλಓͱʮܦిࢠ൛1SPʯ • σʔλͷऔಘ • ୳ࡧతσʔλੳͱલॲཧ •
༧ଌϞσϧͷߏங • ݁ՌͷղऍͱϏδωε׆༻
ࣗݾհ • ੴݪↅଠ !VQVSB • ຊܦࡁ৽ฉࣾ ݄ೖࣾ • σʔλΞφϦετˍΤϯδχΞ •
େֶ࣌ɿֶֶ෦ɺ՝֎׆ಈେֶ৽ฉ • झຯɿ,BHHMFɺڝϓϩɺϒϩά ʢ݄BEWFOUDBMFOEBSͳͲͰຊࣥචʣ
σʔλυϦϒϯνʔϜ • αʔϏεاըɾ։ൃӦۀɾϚʔέςΟϯάͰ ʮσʔλΛۙʹʯ • ୯ͳΔੳ͚ͩͰͳ͘ɺج൫ͷඋɺଌఆ߲ͷ ઃܭɺۀޮԽʹ͚ͨڥඋͳͲ • ར༻ݴޠɿ42- 1ZUIPO
3 /PEFKT ຊޠ
ຊͷ • ࣗݾհ • σʔλಓͱʮܦిࢠ൛1SPʯ • σʔλͷऔಘ • ୳ࡧతσʔλੳͱલॲཧ •
༧ଌϞσϧͷߏங • ݁ՌͷղऍͱϏδωε׆༻
σʔλಓ • σʔλυϦϒϯΛՃ͢Δڭҭ੍ʢʙʣ • ੳ୲ऀ͚ͩͰͳ͘ฤूɾӦۀɾࠂͷؔऀΒ ͕ɺ42-σʔλʹجͮ͘1%$"ͷճ͠ํΛֶͿ • Χ݄ʹΘͨΓिʹҰɺۀ࣌ؒͷ࣌ؒ ͷͰूதతʹऔΓΉ
ۀͷݹ͍ձࣾͰσʔλͷຽओԽΛਐΊͨ IUUQTTQFBLFSEFDLDPNZPTVLFTV[VLJOJLLFJEBUBESJWFO
ػցֶशτϨʔχϯά • σʔλಓͷൃల൛ • ֎෦ߨࢣট͖ɺػցֶशͷཧϏδωεԠ༻ ͢ΔͨΊͷϊϋͳͲΛֶͿ • ύοέʔδΛΘͳ͍ػցֶशΞϧΰϦζϜͷ࣮ ͔Β࢝Ίɺ࠷ऴతʹػցֶशΛ༻͍ͯࣗࣾαʔϏε ͷσʔλΛੳ
ܦిࢠ൛1SP • ๏ਓ͚ͷʮܦిࢠ൛ʯ IUUQTQSOJLLFJDPNQSP • ෳਓͰهࣄͷίϝϯτڞ༗͕Ͱ͖Δάϧʔϓ ػೳͳͲɺݸਓܖͷܦిࢠ൛ʹͳ͍ػೳɾ ίϯςϯπ͕ॆ࣮ • ຊܖલͷແྉτϥΠΞϧΛఏڙ
• ແྉτϥΠΞϧ͔ΒຊܖʹࢸΔׂ߹ɺ͢ͳΘͪ ʮຊܖʯɺച্ʹ݁͢Δॏཁͳࢦඪ
ࠓճͷੳͷత • ຊܖͷ্Λࢦ͠ɺաڈʹແྉτϥΠΞϧ ͔Βຊܖͨ͠ʗ͠ͳ͔ͬͨϢʔβΛରʹ͠ɺ ͦΕͧΕͲͷΑ͏ͳಛ͕͋Δ͔Ѳ • Ϣʔβͷଐੑใར༻ʹؔ͢Δใ͔Βɺ ػցֶशΛ༻͍Δ͜ͱͰେྔͷσʔλΛॲཧ͠ɺ ຊܖ͢Δ͔൱͔ʹؔΘΔಛΛఆੑతͰͳ͘ ఆྔతʹಛఆ
ಛྔͷॏཁ આ໌ม !ɿ Ϣʔβଐੑར༻ user_id "# "$ ... "%
& 00000001 0 00000002 1 00000003 0 తม yɿ ຊܖʹࢸ͔ͬͨ൱͔ ػցֶशϞσϧ ಗ໊Խ͞Εͨ*% ༧ଌʹ༻͍ͨಛͷॏཁΛࢉग़ ˠຊܖʹӨڹ͢ΔಛͱԿ͔ʁ
ຊͷ • ࣗݾհ • σʔλಓͱʮܦిࢠ൛1SPʯ • σʔλͷऔಘ • ୳ࡧతσʔλੳͱલॲཧ •
༧ଌϞσϧͷߏங • ݁ՌͷղऍͱϏδωε׆༻
"UMBT • ͨ͠ϦΞϧλΠϜσʔλॲཧج൫ʮ"UMBTʯ ϦΞϧλΠϜσʔλॲཧج൫ ʮ"UMBTʯ ͷιʔείʔυΛެ։͠·͢ IUUQTIBDLOJLLFJDPNCMPHBUMBT@PQFOTPVSDF@QSPKFDU
42- 1ZUIPOͰੳ • 3FEBTI্Ͱ42-Λॻ͖ɺσʔλΛऔಘ • ࠓճػցֶशΛ༻͍ͨൺֱతෳࡶͳੳΛߦ͏ ߹্ɺ42-Ͱσʔλऔಘ·ͰΛѻ͍ɺΓͷ ॲཧ1ZUIPOΛར༻ • ˞,JCBOB
%0.0 34UVEJPͳͲར༻Ͱ͖Δ
ຊͷ • ࣗݾհ • σʔλಓͱʮܦిࢠ൛1SPʯ • σʔλͷऔಘ • ୳ࡧతσʔλੳͱલॲཧ •
༧ଌϞσϧͷߏங • ݁ՌͷղऍͱϏδωε׆༻
୳ࡧతσʔλੳʢ&%"ʣ • औಘͨ͠σʔλͷ֤ಛͷɺܽམͷ༗ແ ͳͲΛ֬ೝ • ݸਓతͳݟղͱͯ͠ɺϏδωεͷੈքͰσʔλΛ ѻ্͍ͬͯ͘Ͱಛʹॏཁͳաఔ • ,BHHMFͳͲͱൺɺϏδωεͰղܾ͖͢ Λಛఆ͠ԾઆΛཱͯΔ͜ͱʹՁ͕͋Δ
σʔλΛදࣔ͢Δ • ଐੑใ͕ఔɺΞΫηεใ͕ఔ
σʔλͷ֓ཁΛ͔ͭΉ • جૅ౷ܭྔܽଛΛோΊΔ • ! == 0 ͕ଟ͍ෆۉߧσʔλ • ʮอଘهࣄʯʮࣗ༝ճͷଐੑใʯʹܽଛ
• ˞લऀ42-ͷॻ͖ํͷʢKPJOʣ
U4/&ͰՄࢹԽ • ߴ࣍ݩσʔλͷ࣍ݩݮͷख๏ • ԫ৭ͷ ! == 1 ͕ൺֱత·ͱ·ͬͨҐஔʹ
ܽଛΧςΰϦมͷॲཧ • ܽଛ͕ଟ͗͢Δมআ • ʮอଘهࣄʯͷܽଛͰຒΊΔ • ΧςΰϦมμϛʔมʹ
-FBLBHFͷআ • ༧ଌͷରͱͳΔʹؔ͢Δ༧ظͤ͵ใֶ͕श σʔλʹଘࡏ͢ΔͨΊɺػցֶशΞϧΰϦζϜ ͕ඇݱ࣮తʹߴ͍ਫ਼Λࣔ͢ݱ • ࠓճʮຊܖਃ͠ࠐΈखଓ͖ϖʔδͷӾཡʯ ͕-FBLBHFʹ • ຊܖΛਃ͠ࠐΉखଓ͖ϖʔδΛӾཡ͍ͯ͠Δ
Ϣʔβɺવ΄΅ͷ֬ͰຊܖʹࢸΔ
ຊͷ • ࣗݾհ • σʔλಓͱʮܦిࢠ൛1SPʯ • σʔλͷऔಘ • ୳ࡧతσʔλੳͱલॲཧ •
༧ଌϞσϧͷߏங • ݁ՌͷղऍͱϏδωε׆༻
ػցֶशϞσϧͷબఆ • ਖ਼ղ"6$ͰϞσϧͷਫ਼Λൺֱ
(SBEJFOU#PPTUJOH$MBTTJGJFS • TLMFBSOͷޯϒʔεςΟϯάܾఆΛ࠾༻ • ཧ༝ᶃ ಛͷॏཁΛࢉग़Ͱ͖ɺతʹ߹க • ཧ༝ᶄ 47$ͱൺೋྨҎ֎ʹԠ༻͍͢͠ •
(SJE4FBSDI$7ͰϋΠύʔύϥϝʔλௐ • ަࠩݕূͷ"6$Ͱఔ
ຊͷ • ࣗݾհ • σʔλಓͱʮܦిࢠ൛1SPʯ • σʔλͷऔಘ • ୳ࡧతσʔλੳͱલॲཧ •
༧ଌϞσϧͷߏங • ݁ՌͷղऍͱϏδωε׆༻
ಛͷॏཁ • ࠓճͷ༧ଌϞσϧʹ͓͚ΔಛͷॏཁΛग़ྗ • ˞աʹಛͷॏཁΛ৴ͣ͡ɺཧతഎܠΛҙࣝ ͯ͠৻ॏʹղऍ͢Δඞཁ͕͋Δ • αʔϏεӦۀɾϚʔέςΟϯάͷ୲ऀʹڞ༗ ͠ɺࠓޙͷࢪࡦʹ͚ͨٞͷࡐྉʹ
·ͱΊ • ػցֶशΛ༻͍ͯܦిࢠ൛1SPͷϢʔβੳΛ ࣮ࢪ͠ɺແྉτϥΠΞϧ͔ΒຊܖʹࢸΔཁҼͱ ͳΔಛΛఆྔతʹಛఆͨ͠ • Ұݟʮݹष͍ʯຊܦࡁ৽ฉࣾͰɺσʔλ׆༻͕ ੵۃతʹల։͞Ε͍ͯΔ ʢσʔλಓɾσʔλج൫ɾػցֶशͳͲʣ