$30 off During Our Annual Pro Sale. View Details »
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
ジオ系アプリを次々に公開して得られた知見を披露します
Search
uturist
June 08, 2016
Research
0
92
ジオ系アプリを次々に公開して得られた知見を披露します
GMS2016ライトニングトーク用
uturist
June 08, 2016
Tweet
Share
More Decks by uturist
See All by uturist
SkyWayベースのウェブアプリをiOS版Safariに対応した時の話
uturist
2
520
ペッパー社員
uturist
0
140
Other Decks in Research
See All in Research
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
110
自動運転におけるデータ駆動型AIに対する安全性の考え方 / Safety Engineering for Data-Driven AI in Autonomous Driving Systems
ishikawafyu
0
110
[IBIS 2025] 深層基盤モデルのための強化学習驚きから理論にもとづく納得へ
akifumi_wachi
19
9k
A History of Approximate Nearest Neighbor Search from an Applications Perspective
matsui_528
1
120
Sat2City:3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion
satai
4
400
Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping
satai
3
440
令和最新技術で伝統掲示板を再構築: HonoX で作る型安全なスレッドフロート型掲示板 / かろっく@calloc134 - Hono Conference 2025
calloc134
0
450
snlp2025_prevent_llm_spikes
takase
0
420
CoRL2025速報
rpc
3
3.7k
Agentic AI Era におけるサプライチェーン最適化
mickey_kubo
0
110
大規模言語モデルにおけるData-Centric AIと合成データの活用 / Data-Centric AI and Synthetic Data in Large Language Models
tsurubee
1
460
論文読み会 SNLP2025 Learning Dynamics of LLM Finetuning. In: ICLR 2025
s_mizuki_nlp
0
350
Featured
See All Featured
Understanding Cognitive Biases in Performance Measurement
bluesmoon
32
2.8k
GraphQLの誤解/rethinking-graphql
sonatard
73
11k
Are puppies a ranking factor?
jonoalderson
0
2.4k
Joys of Absence: A Defence of Solitary Play
codingconduct
1
260
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
9.8k
The Cost Of JavaScript in 2023
addyosmani
55
9.4k
4 Signs Your Business is Dying
shpigford
186
22k
Mozcon NYC 2025: Stop Losing SEO Traffic
samtorres
0
93
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
0
89
Heart Work Chapter 1 - Part 1
lfama
PRO
3
35k
Pawsitive SEO: Lessons from My Dog (and Many Mistakes) on Thriving as a Consultant in the Age of AI
davidcarrasco
0
37
ラッコキーワード サービス紹介資料
rakko
0
1.8M
Transcript
δΦܥΞϓϦΛ࣍ʑʹެ։ͯ͠ ಘΒΕͨݟΛ ൸࿐͠·͢ ࠤ౻ӫو !VUVSJTU (.4-5
ࠤ౻ӫو ;͏ͨΓ͢ͱ ΤϯδχΞ 8FCɾεϚϗ !VUVSJTU GVUVSJTUDPDPMPHOJGUZDPN !VUVSJTU (.4-5
δΦܥΞϓϦʢʣ ͏ʹͬͪΛ͕ͤ͞ʂ ಓ࿏γϧΤοτΫΠζ ͪʔͨΜΛ୳ͤʂ 4NBOQP ΤϧϞͷΘ͘Θ͘ੈքཱྀߦ ՖԦ༧ใ πΠʔτϚοϓ εϓϨουγʔτϚοϓ ͱͩͪΨΠυ
ެతπΠολʔΞΧϯτ ͓༑ୡϚοϓ ॴΊϚοϓ JNBTJODPN ΈΜͳͰ͑ΔφϏ !VUVSJTU (.4-5
ཷ·ͬͨݟΛ ੯͛͠ͳ͘ ൸࿐͠·͢ !VUVSJTU (.4-5
ͦͷ̍ !VUVSJTU (.4-5
δΦY !VUVSJTU (.4-5 ͜Μͳͷ࡞Γ·ͨ͠ɻ
δΦY πΠολʔ !VUVSJTU (.4-5
δΦY πΠολʔ ˣ πΠʔτϚοϓ !VUVSJTU (.4-5
πΠʔτϚοϓʁ ɹ !VUVSJTU (.4-5
πΠʔτϚοϓʁ w ΩʔϫʔυͰπΠʔτ Λநग़ w ҐஔใͰπΠʔτΛ Ϛοϐϯά !VUVSJTU (.4-5
πΠʔτϚοϓʁ ɹ !VUVSJTU (.4-5
ݟ !VUVSJTU (.4-5
ݟ πΠʔτຽ ηϯαʔͩʂ !VUVSJTU (.4-5
ژํ໘ !VUVSJTU (.4-5
ݕࡧϫʔυ zz !VUVSJTU (.4-5
ҰൠπΠʔτʙ !VUVSJTU (.4-5
ใπΠʔτʙ !VUVSJTU (.4-5
ݟ ͷݕ͕ ใΑΓૣ͍ʂ ࣄ͋Δ !VUVSJTU (.4-5
ݸʑͷҰൠπΠʔτ ৴པੑʹٙූ ͔͠͠ !VUVSJTU (.4-5
ҰൠπΠʔτͷू߹ʹ ࣌ؒɾۭؒͷภΓ ˣ Կ͔͋Δʂ !VUVSJTU (.4-5
ͭ·Γɺ ू߹ͳΒ͵ɺ !VUVSJTU (.4-5
ू߹ࣹਆܦʂ !VUVSJTU (.4-5
Ҭʹؔ৺ͷ ͋Δํ ͝׆༻Λʂ !VUVSJTU (.4-5 ࣏ࣗମ ళฮ
ݟ !VUVSJTU (.4-5
ݟ ۙॴʹ ϝσΟΞͰޠΒΕΔ͜ͱͷͳ͍ ͋ͳͨͷΒͳ͍ ੈք͕ʂʁ !VUVSJTU (.4-5
࡛ۄํ໘ !VUVSJTU (.4-5
ݕࡧϫʔυ zṖͷඈߦମz !VUVSJTU (.4-5
!࡛ۄํ໘ !VUVSJTU (.4-5
৴͡Δ͔ ৴͡ͳ͍͔ ͋ͳͨ࣍ୈʂ !VUVSJTU (.4-5 6'0 6." ༓ྶ ͭͪͷ͜
ͦͷ̎ !VUVSJTU (.4-5
δΦY !VUVSJTU (.4-5 ͜Μͳͷ࡞Γ·ͨ͠ɻ
δΦY าܭ !VUVSJTU (.4-5
δΦY าܭ ˣ ཱྀͷԾମݧ !VUVSJTU (.4-5
δΦY าܭ ˣ ཱྀͷԾମݧ 4NBOQP !VUVSJTU (.4-5
4NBOQP w Ϛοϓ্ͷϧʔτΛɺ าʹԠͯ͡ਐΉɻ w पғͷετϦʔτ ϏϡʔΛݟΕΔɻ w 4/4ͰγΣΞՄೳɻ
!VUVSJTU (.4-5
4NBOQP !VUVSJTU (.4-5
ݟ !VUVSJTU (.4-5
ݟ Ծ ཱྀͷࢥ͍ग़͕ ͲΜͲΜͨ·ΔX !VUVSJTU (.4-5
!VUVSJTU (.4-5
ݟ !VUVSJTU (.4-5
ݟ ٿͷαΠζΛ ମݧͰ͖Δʂ Α͏ͳؾ͕͢Δ !VUVSJTU (.4-5
!VUVSJTU (.4-5
!VUVSJTU (.4-5
ͦͷ !VUVSJTU (.4-5
δΦY !VUVSJTU (.4-5
δΦY ͝Ωϟϥ !VUVSJTU (.4-5
δΦY ͝Ωϟϥ ˣ ҭΞϓϦ !VUVSJTU (.4-5
δΦY ͝Ωϟϥ ˣ ҭΞϓϦ ͏ʹͬͪΛ͕ͤ͞ʂ !VUVSJTU (.4-5
͏ʹͬͪ !VUVSJTU (.4-5 ؠखݝͷ̧̥ΩϟϥΫλʔʮΘΜ͖͜ΐ͏͍ͩʯͷͻͱΓɻ
͏ʹͬͪΛ͕ͤ͞ʂ w ͏ʹཱྀ͕ͬͪʹग़ͨ w ֆ༿ॻ͕ಧ͘ w ߦ͖ઌΛ୳͢ !VUVSJTU (.4-5
͏ʹͬͪΛ͕ͤ͞ʂ !VUVSJTU (.4-5
ݟ !VUVSJTU (.4-5
ݟ ϦΞϧΠϕϯτͷ ड͚͕ྑ͍ʂ !VUVSJTU (.4-5
!VUVSJTU (.4-5
ݟ !VUVSJTU (.4-5
ݟ ਤΞϓϦ6*ͷ εϫΠϓ͕ ͪͼͬ͜ͷπϘʂ !VUVSJTU (.4-5
ؾ͍ͮͨ͜ͱ !VUVSJTU (.4-5
8FCϕʔεͷ ڭҭίϯςϯπ ໘ന͍ !VUVSJTU (.4-5
ͦͷ !VUVSJTU (.4-5
δΦY !VUVSJTU (.4-5
δΦY δΦ !VUVSJTU (.4-5
δΦY δΦ ˣ ΫΠζ !VUVSJTU (.4-5
δΦY δΦ ˣ ΫΠζ ಓ࿏γϧΤοτΫΠζ !VUVSJTU (.4-5
ಓ࿏γϧΤοτΫΠζʁ ಓ࿏ͷܗʢγϧΤοτʣ Λख͕͔Γʹɺ Ͳ͜ͷಓ͔ΛͯΔʂ !VUVSJTU (.4-5
ಓ࿏γϧΤοτΫΠζʁ !VUVSJTU (.4-5
ݟ !VUVSJTU (.4-5
ϚχΞοΫ͗ͯ͢ ݟͨ·Βͣ !VUVSJTU (.4-5
ؾ͍ͮͨ͜ͱ !VUVSJTU (.4-5
ಉ͡ಓ ೋͭͱͳ͍ !VUVSJTU (.4-5
ಓٿͷ ࢦͰ͋Δ !VUVSJTU (.4-5
ͭ·Γ !VUVSJTU (.4-5
δΦೝূʂ !VUVSJTU (.4-5
ͪͳΈʹ !VUVSJTU (.4-5
!VUVSJTU (.4-5 ಓ࿏ γϧΤοτ ΫΠζ 4NBOQP Y
!VUVSJTU (.4-5 ಓ࿏ γϧΤοτ ΫΠζ 4NBOQP Y ˣ ໎ࢠग़ήʔϜ 4NBOQPݥϞʔυ
4NBOQPݥϞʔυ !VUVSJTU (.4-5
Ҏ্Ͱ͢ʂ !VUVSJTU (.4-5
͝ਗ਼ௌ ͋Γ͕ͱ͏ ͍͟͝·ͨ͠ !VUVSJTU (.4-5