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
東海高校OBが語るマスコミでのデータサイエンティストの仕事 / data scientist in news media at satprogram38
Search
Shotaro Ishihara
February 24, 2021
Education
0
1.8k
東海高校OBが語るマスコミでのデータサイエンティストの仕事 / data scientist in news media at satprogram38
中止となった「第38回サタデープログラム」で発表予定だった資料を、一般公開用に編集しました。
https://www.satprogram.net/list.html
Shotaro Ishihara
February 24, 2021
Tweet
Share
More Decks by Shotaro Ishihara
See All by Shotaro Ishihara
Quantifying Memorization of Domain-Specific Pre-trained Language Models using Japanese Newspaper and Paywalls
upura
0
23
「極意本」サンプルコードをクラウド上で動かそう
upura
1
2.1k
論文紹介: Generating News-Centric Crossword Puzzles As A Constraint Satisfaction and Optimization Problem
upura
0
240
関東 Kaggler 会スポンサー資料
upura
0
1.6k
論文紹介 Quantifying attention via dwell time and engagement in a social media browsing environment / web-socialmedia-study-8th
upura
0
220
Quantifying Diachronic Language Change via Word Embeddings: Analysis of Social Events using 11 Years News Articles in Japanese and English
upura
1
400
Training Data Extraction From Pre-trained Language Models: A Survey
upura
0
240
論文紹介 Discovering and Categorising Language Biases in Reddit / web-socialmedia-study-5th
upura
0
320
AMA (Ask me anything) 『Kaggleに挑む深層学習プログラミングの極意』 / Ask me anything
upura
0
320
Other Decks in Education
See All in Education
2024年度春学期 統計学 第2回 統計資料の収集と読み方 (2024. 4. 18)
akiraasano
PRO
0
110
🎓 ChatGPT を組み込んだ24時間TA : 教育現場における LLM 活用の課題と改善
yasslab
PRO
0
600
3Dプリンターの使い方(Sovol 06 Plus)
404background
0
150
Цифровые финансы - магистерская программа Финэка МГИМО 2024 г.
niellony
0
400
A question of time
ange
0
730
Human-AI Interaction - Lecture 11 - Next Generation User Interfaces (4018166FNR)
signer
PRO
0
110
【実践】 パフォーマンス・チューニング~オプティマイザ活用術~
oracle4engineer
PRO
1
660
プロジェクト型学習とそれを支える生成AI利用プログラミング/pbl-and-ai-assisted-programming
okana2ki
0
150
week10@tcue2024
nonxxxizm
0
370
View Manipulation and Reduction - Lecture 9 - Information Visualisation (4019538FNR)
signer
PRO
1
1.5k
week3@tcue2024
nonxxxizm
0
630
White Snake: Qing's Mission
movingcastal
0
220
Featured
See All Featured
How To Stay Up To Date on Web Technology
chriscoyier
784
250k
YesSQL, Process and Tooling at Scale
rocio
166
14k
The Language of Interfaces
destraynor
151
23k
What the flash - Photography Introduction
edds
65
11k
StorybookのUI Testing Handbookを読んだ
zakiyama
15
4.9k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
24
1.8k
Pencils Down: Stop Designing & Start Developing
hursman
118
11k
[RailsConf 2023] Rails as a piece of cake
palkan
35
4.4k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
16
1.6k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
149
45k
5 minutes of I Can Smell Your CMS
philhawksworth
200
19k
No one is an island. Learnings from fostering a developers community.
thoeni
17
2.8k
Transcript
౦ւߴߍ0#͕ޠΔ ϚείϛͰͷ σʔλαΠΤϯςΟετͷࣄ ੴݪↅଠ ౦ւߴߍճଔʢʣ ୈճαλσʔϓϩάϥϜʢதࢭʣ ˞ൃද༧ఆͩͬͨࢿྉΛɺҰൠެ։༻ʹฤू ݄
ٕज़ֵ৽ͰมΘΔϚείϛ σʔλαΠΤϯςΟετ l"*z͕ͨΒ͢՝ͱઓ z"*z࣌Λੜ͖͍ͯ͘
χϡʔεϝσΟΞ º σʔλαΠΤϯε
໊ݹͰੜ·ΕΔ த৽ฉ ಡച৽ฉ ΛಡΜͰҭͭ ౦ւߴߍʹೖֶ ౦େ ཧᶗ ʹೖֶˍ ެӹࡒஂ๏ਓ౦ژେֶ৽ฉࣾʹೖࣾ
౦ژେֶ৽ฉࣾʹͯ • هऀɺ൛ɺฤू • σδλϧ൛ͷ্ཱͪ͛ • Πϕϯτओ࠵ • ࠂӦۀ
౦େͰֶ෦ʹਐֶ͠ɺσʔλੳ ΛςʔϚʹݚڀ ଔɿίϛϡχςΟͷಛΛߟྀͨ͠ ݟकΓαʔϏεઃܭख๏ͷ։ൃ ˞ֶ෦ͷଔ༏लΛड
⚔χϡʔεϝσΟΞºσʔλαΠΤϯε • ࠃࡍχϡʔεϝσΟΞڠձʹΑΔ ʮੈքͷࡀҎԼਓʯʹબग़ • ੳͷੈքେձͰ༏উ • ʰ,BHHMFελʔτϒοΫʱग़൛
ٕज़ֵ৽ͰมΘΔ χϡʔεϝσΟΞ
ຊͷ৽ฉͷൃߦ෦ͷਪҠ IUUQTXXXQSFTTOFUPSKQEBUBDJSDVMBUJPODJSDVMBUJPOQIQ ੈଳ୯Ґ
എܠʹٕज़ֵ৽ • ΠϯλʔωοτɾεϚϗͷීٴ • 4/4ొʢ୭͕ൃ৴Ͱ͖Δ࣌ʣ • ʮϚείϛʯͷ่յ • ൃ৴ ༰ݕূ
ݸਓ࠷దԽ
ຖ͍ͬͯΔɾαʔϏεʁ✋ • εϚϗɾλϒϨοτɾύιίϯ ͳͲ • 4/4ɾಈը৴ ͳͲ • χϡʔεαΠτ •
ʢࢴͷʣ৽ฉ
ओઓΠϯλʔωοτ • Մॲ࣌ؒͷୣ͍߹͍ • ڝ߹4/4ɾಈը৴ ͳͲ • ৽ฉΠϯλʔωοτਐग़ • ΩʔϫʔυʮσδλϧԽɾࠃࡍԽʯ
৽ฉࣾͷࡏΓํ͕มΘͬͨ • ࢴͷ৽ฉΛ࡞Δਓ • 🆕 ిࢠ൛Λ࡞Δਓ • 🆕 ϢʔβͷԠΛݟΔਓ •
🆕 ϢʔβͷԠΛݟͯվળ͢Δਓ
σʔλαΠΤϯςΟετ ͱԿऀ͔
ࢴͷ৽ฉ͚ͩͩͬͨ࣌
Πϯλʔωοτ͕ීٴͨ࣌͠ 🆕 ిࢠ൛Λ࡞Δਓ 🆕 ϢʔβͷԠΛ ݟΔਓ 🆕 ϢʔβͷԠΛ ݟͯվળ͢Δਓ
ଟ͘ͷۀքͰى͖͍ͯΔྲྀΕ • ϢϏΩλε *OUFSOFUPG5IJOHT %JHJUBM5SBOTGPSNBUJPO • ͋ΒΏΔͷΛܭଌ͠׆༻͢Δ • ڭҭɾεϙʔπɾྲྀ௨ɾ ͳͲ
ʮσʔλʯ͕ՁΛ࢈Ή σʔλʢӳEBUBʣͱɺࣄ࣮ࢿྉΛ ͢͞ݴ༿ɻ ݴޠతʹෳܗͰ͋ΔͨΊɺ ݫີʹෳͷࣄͷू·Γͷ͜ͱ Λࢦ͠ɺ୯ܗ EBUVNʢσʔλϜʣͰ ͋Δɻ ຊޠXJLJQFEJBΑΓ
σʔλαΠΤϯςΟετͱ ʮσʔλ͔ΒՁΛग़͠ɺ Ϗδωε՝ʹ͑Λग़͢ ϓϩϑΣογϣφϧʯ σʔλαΠΤϯςΟετڠձ IUUQXXXEBUBTDJFOUJTUPSKQGJMFTOFXTQEG
खஈ • ͷઐࣝ • ֶɾ౷ܭͷࣝʢ࣌ʹʮ"*ʯʣ • ϓϩάϥϛϯάͷٕज़ ϓϩάϥϚɾ*5ΤϯδχΞͷҰछ
IUUQTICSPSHEBUBTDJFOUJTUUIFTFYJFTUKPCPGUIFTUDFOUVSZ ੈلɺ࠷ηΫγʔͳࣄ
IUUQTCMPHPTDPN BSUJDMF
۩ମతʹ͍ͬͯΔ͜ͱͷൈਮ • Ϣʔβͷߦಈੳ • هࣄاۀͷਪન • ۀͷࣗಈԽɾޮԽ
• σʔλऩूج൫ͷߏங • ར༻ಈͷੳ • ࢪࡦͷʮ"#ςετʯ • ݟग़͠ͷग़͚͠ʢڧԽֶशʣ
ࢪࡦͷʮ"#ςετʯ " ΫϦοΫ ΫϦοΫ
۩ମతʹ͍ͬͯΔ͜ͱͷൈਮ • Ϣʔβͷߦಈੳ • هࣄاۀͷਪન • ۀͷࣗಈԽɾޮԽ
هࣄاۀͷਪન աڈʹಡΜͩهࣄ ৽͍͠هࣄʢຊʣ Λֶश ਪન
จষΛʮϕΫτϧʯʹม աڈʹಡΜͩهࣄ Λֶश (𝒙, 𝒚) = (𝟕, 𝟐)
ϢʔβͷʮΈʯϕΫτϧΛࢉग़ աڈʹಡΜͩهࣄ Λֶश (𝒙, 𝒚) = (𝟕, 𝟐) ✗
ʮΈʯʹ͍ۙهࣄΛਪન աڈʹಡΜͩهࣄ Λֶश (𝒙, 𝒚) = (𝟕, 𝟐) ✗ (𝒙,
𝒚) = (𝟕, −𝟐) (𝒙, 𝒚) = (𝟑, 𝟔) ڑΛܭࢉ
จষΛʮϕΫτϧʯʹม ౦ւߴߍ0#͕ޠΔʂϚείϛʹ͓͚ΔσʔλαΠΤϯςΟ ετͷࣄ 𝑨 = (𝟏, 𝟏, 𝟏) ςϨϏہ͕౦ւߴߍʹऔࡐʹདྷͨΒ͍͠ 𝑨
= (𝟏, 𝟎, 𝟎) σʔλαΠΤϯςΟετʹͳΔͨΊʹ 𝑨 = (𝟎, 𝟎, 𝟏) ໊ݹʹདྷͨΒखӋઌͱϥʔϝϯͩ 𝑨 = (𝟎, 𝟎, 𝟎)
ϧʔϧ࡞Γқ͕ߴ͍ • Ͳͷ୯ޠΛ࠾༻͢Δʁ • Կݸͷ୯ޠΛج४ʹ͢Δʁ • ʮϚείϛʯʮςϨϏہʯҧ͏ʁ • ͲΕ͚͚ͩۙΕਪન͢Δʁ
ػցֶशʢڭࢣ͋Γֶशʣ
ʮܾఆڥքʯΛֶश աڈʹಡΜͩهࣄ Λֶश
ڭࢣ͋Γֶशͷ۩ମྫ • ը૾ೝࣝʢ(PPHMFը૾ݕࡧʣ • Իೝࣝʢ4JSJʣ • ໎ϝʔϧͷࣗಈྨʢ(NBJMʣ
σʔλੳͷੈքେձʢࢲͷ࣮ʣ • ϖοτͷҾ͖औΓ༧ଌʢ,BHHMF Ґʣ • ѱ࣭ͳίϝϯτͷྨʢ,BHHMF Ґʣ • $07*%ͷ3/"ͷ׆ੑ༧ଌʢ,BHHMF Ґʣ
• පͷ༧ଌʢ4*(/"5& Ґʣ • ٿͷདྷ༧ଌʢύɾϦʔά Ґʣ
۩ମతʹ͍ͬͯΔ͜ͱͷൈਮ • Ϣʔβͷߦಈੳ • هࣄاۀͷਪન • ۀͷࣗಈԽɾޮԽ
• هࣄͷࣗಈཁɾࣗಈੜ • จষͷߍӾɾߍਖ਼ • όΠΞεͷݕ
l"*z͕ͨΒ͢ ՝ͱઓ
• ѱҙΛ͍࣋ͬͨํ • ݸਓ࠷దԽͷฐ • "*ͷެฏੑɾղऍੑ
ѱҙΛ࣋ͬͨίϯςϯπͷੜ • ϑΣΠΫχϡʔεͷ֦ࢄ • ੜٕज़ͷߴԽʼݕূ IUUQTZPVUVCFD2(%NF- IUUQTZPVUVCFG+3O&@)N"
("/ɿఢରతੜωοτϫʔΫͱԿ͔ ʙʮڭࢣͳֶ͠शʯʹΑΔը૾ੜ
ِ͔Λఆ͢Δίϯςετ͕։࠵ ༏উۚສԁ IUUQTXXXLBHHMFDPNDEFFQGBLFEFUFDUJPODIBMMFOHF
ϑΟϧλʔόϒϧ ࣗͷΈͷ༰͚͕ͩ৴͞Εͯࢹ͕ڱ͘ͳΔ ΤίʔνΣϯόʔ ࣗͱಉ͡ҙݟ͔Γʹ͢Δ͜ͱͰɺࣗͷҙݟ ͕ઈରతͩͱޡղͯ͠͠·͏
ηϨϯσΟϐςΟ ૉఢͳۮવɻࢴͷ৽ฉʹ٭ޫʁ 6*69Ͱͷ 4NBSU/FXTͷྫ IUUQTUFDIDSVODIDPNTNBSUOFXTMBUFTU OFXTEJTDPWFSZGFBUVSFTIPXTVTFSTBSUJDMFTGSPNBDSPTT UIFQPMJUJDBMTQFDUSVN
"*ͷஅͰਓੜΛࠨӈ͞ΕΔࣄྫ • "*ͳͥͦͷஅΛԼ͔ͨ͠ʁ • அྙཧతɾಓಙతʹଥ͔ • ઃܭࣗମʹͳ͍ͷ͔ʁ
ۙͰٞΛݺΜͩྫ • ࠾༻ʹؔ͢Δ"* • ۚ༥ʹؔ͢Δ"* • ਓछʹؔ͢Δ"*
l"*z࣌Λ ੜ͖͍ͯ͘
ຊͷ·ͱΊ • ٕज़ֵ৽ͰۀքʹมԽ͕ى͖ͨ • σʔλ͔ΒՁΛग़͢Δ࣌ • େͳͷ͍ํ
དྷऀͷϝοηʔδ ʮ"*ʯͷൃల͕͞·͟·ʹͳΔதɺਓؒʹ͔͠Ͱ͖ͳ͍ͷ ʮఆٛʯ͢Δ͜ͱͩͱݸਓతʹࢥ͍ͬͯ·͢ɻٕज़ͰԿͰՄೳʹ ͳͬͨͱ͖ɺԿΛͬͯΑ͍͔ܾΊΔͷ͕େͰ͢ɻʮཧܥɾจܥʯ ͱ͍͏ΈʹनΘΕͳ͍ɺΑΓྖҬԣஅతͳ͕ٞඞཁͰɺதߴੜ ͷօ͞Μʹͥͻ෯͘ઓͯ͠Έͯ΄͍͠Ͱ͢ɻࣗʮχϡʔε ϝσΟΞºσʔλαΠΤϯεʯͷֻ͚߹ΘͤͰࣄΛ͍ͯ͠·͢ɻ