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
自転車盗難推測Botの開発
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Kenji Kawanobe
January 15, 2020
0
23
自転車盗難推測Botの開発
主に以下の技術を、用いた自転車盗難推測Botの開発についてまとめたスライドです。
- LINE API
- Python(Dhango/numpy/scipy)
- Heroku
Kenji Kawanobe
January 15, 2020
Tweet
Share
More Decks by Kenji Kawanobe
See All by Kenji Kawanobe
Nuxt.jsとFirebaseで個人開発した話
kenji7157
0
150
「こわくない」Vuetifyで始めるOSSコントリビュート
kenji7157
1
230
Development of LINEBot for predicting bicycle theft using open data!!
kenji7157
0
140
Featured
See All Featured
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
750
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
460
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
350
Code Review Best Practice
trishagee
74
20k
For a Future-Friendly Web
brad_frost
182
10k
New Earth Scene 8
popppiees
1
1.5k
SEOcharity - Dark patterns in SEO and UX: How to avoid them and build a more ethical web
sarafernandez
0
120
VelocityConf: Rendering Performance Case Studies
addyosmani
333
24k
Optimising Largest Contentful Paint
csswizardry
37
3.6k
Navigating Algorithm Shifts & AI Overviews - #SMXNext
aleyda
0
1.1k
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
2.3k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
1.8k
Transcript
ࣗసं౪ਪଌ#PUͷ։ൃ גࣜձࣾຊγεςϜٕݚ ᬒɹݡೋ
ɾࣗసंΛఀΊ͍ͨॴ͕౪͞Εͳ͍ॴͰ͋Δ͔ ɹఆ͢ΔࣄΛతͱͨ͠-*/&#PUͷ։ൃɻ ɾఆʹɺΦʔϓϯσʔλ ݝࣗసं౪σʔλ ͱ ɹ-*/&͔Βऔಘ͢Δར༻ऀใΛ༻ɻ ɾఆͷࢦඪͱͯ͠ɹ҆શείΞΛఆٛɻ ֓ཁ
σϞ
None
҆શείΞ ҆શείΞ
҆શείΞ ౪ඃͷಛ େ͖͍ খ͍͞ ࣅ͍ͯͳ͍ ࣅ͍ͯΔ
҆શείΞ ౪ඃͷಛ େ͖͍ খ͍͞ ࣅ͍ͯͳ͍ ࣅ͍ͯΔ ҆શ
҆શείΞ ౪ඃͷಛ େ͖͍ খ͍͞ ࣅ͍ͯͳ͍ ࣅ͍ͯΔ ةݥ ҆શ
҆શείΞ ౪ඃͷಛ େ͖͍ খ͍͞ ࣅ͍ͯͳ͍ ࣅ͍ͯΔ ةݥ ҆શ
ฏʹݝͰ֬ೝͨ͠൜ࡑൃੜใ
݅ͷඃใ
݅ͷඃใ ɾࢢொଜίʔυ ɾൃੜʢࢢொଜɾொஸ·Ͱʣ ɾൃੜ݄ ɾൃੜ࣌ࠁ ɾඃऀͷྸ ɾඃऀͷ৬ۀ খɾதɾߴɾେɾͦͷଞ ɾࢪৣঢ়ଶ
ʜFUD
݅ͷඃใ ՄࢹԽ
None
None
ྸɾ৬ۀผൃੜ݅
ྸɾ৬ۀผൃੜ݅ ɾࡀࡀͷ౪ඃ͕ଟ͍ ɾࡀࡀͷ౪ඃ͕গͳ͍
None
༵ɾ࣌ؒଳผൃੜ݅
༵ɾ࣌ؒଳผൃੜ݅
༵ɾ࣌ؒଳผൃੜ݅ ɾ௨ֶ௨ۈ࣌ؒ·ͨؼ࣌ؒ ɾಛʹ༵ۚ
౪ඃͷಛ ྸɿɹɹ ৬ۀɿɹɹߴߍੜɺେֶੜ ࣌ؒଳɿɹd࣌ ༵ɿɹɹ༵ۚ ൃੜ݄ɿɹ݄
ࣅ͍ͯͳ͍ ࣅ͍ͯΔ ౪ඃͷಛ
ਓͷඃใ ਓͷར༻ऀใ ࣅ͍ͯͳ͍ ࣅ͍ͯΔ ౪ඃͷಛ
ਓͷඃใ ਓͷར༻ऀใ ࣅ͍ͯͳ͍ ࣅ͍ͯΔ ౪ඃͷಛ ҆શείΞ
ϚϋϥϊϏεڑ
ҙͷ͕ɺσʔλ܈͔ΒͲΕ͚ͩΕ͍ͯΔ͔Λࣔ͢ ϚϋϥϊϏεڑ ҙͷ σʔλ܈
ར༻ऀใ͕ɺաڈͷඃใʹͲΕ͚ͩΕ͍ͯΔ͔Խʹ࣮ݱ ར༻ऀใ աڈͷඃใ ϚϋϥϊϏεڑ
ར༻ऀใ͕ɺաڈͷඃใʹͲΕ͚ͩࣅ͍ͯΔ͔ԽΛ࣮ݱ ར༻ऀใ աڈͷඃใ ϚϋϥϊϏεڑ
աڈͷඃใͱར༻ऀใ͔Β ࢉग़͞ΕΔϚϋϥϊϏεڑ ҆શείΞ
҆ શ ε ί Ξ աڈͷ݅ͷ౪ඃ
҆ શ ε ί Ξ աڈͷ݅ͷ౪ඃ ҆શείΞ͕͍౪͕݅ଟ͍ಛʹࣅ͍ͯΔ ࡀͷ௨ֶ࣌ؒɹ͔ͭɹ༵ۚ
҆ શ ε ί Ξ աڈͷ݅ͷ౪ඃ ҆શείΞ͕ߴ͍౪͕݅ଟ͍ಛʹࣅ͍ͯͳ͍ ࡀͷඃใͳͲ
None
౪ඃͷಛ
౪ඃͷಛ
౪ඃͷಛ
ߟ ՝ ཱ֬ͱͯ͠౪༧ଌΛͰ͖͍ͯͳ͍ ࣗసंͰҠಈͰ͖ΔൣғͰείΞ͍ͨͯ͠มΘΒͳ͍ վળ ౪·Εͳ͔ͬͨใͷऩू पลࢪઃͳͲ౪ʹؔΘΓͦ͏ͳಛྔͷ୳ࡧ
ߟ ՝ ཱ֬ͱͯ͠౪༧ଌΛͰ͖͍ͯͳ͍ ࣗసंͰҠಈͰ͖ΔൣғͰείΞ͍ͨͯ͠มΘΒͳ͍ վળ ౪·Εͳ͔ͬͨใͷऩू पลࢪઃͳͲ౪ʹؔΘΓͦ͏ͳಛྔͷ୳ࡧ ౪Λਪଌ͢Δ߹ʹ͓͍ͯඞཁͳใ͕ ΦʔϓϯσʔλΛͬͯΈͯΘ͔ͬͨ
Ҿ༻ɿݝ࢈ۀΠϊϕʔγϣϯਪਐڠٞձ৴भ̞̩όϨʔߏྩݩ ݄̕ IUUQTXXXQSFGOBHBOPMHKQTFSWJDFTIJOTIV@JUWBMMFZEPDVNFOUTTIJOTIV@JUWBMMFZ@[FOUBJQEG ࢀর
ࣗసं౪ਪଌ#PUͷ։ൃ
ิࢿྉ
Жɿσʔλ܈1ͷฏۉϕΫτϧ Єɿσʔλ܈1ͷڞࢄߦྻ %ɿҙͷͷϚϋϥϊϏεڑ pi ϚϋϥϊϏεڑ
" # ҙͷ͕ɺσʔλ܈͔ΒͲΕ͚ͩΕ͍ͯΔ͔Λࣔ͢ ϚϋϥϊϏεڑ
" # ҙͷ͕ɺσʔλ܈͔ΒͲΕ͚ͩΕ͍ͯΔ͔Λࣔ͢ ϚϋϥϊϏεڑ
ॏ৺͔Βͷී௨ͷڑ"ͷํ͕େ͖͍ " #
σʔλ܈ͱͷڑͱ͍͏؍ͰΈΔͱ"ͷํ͕ద߹͍ͯ͠Δ " #
ॏ৺͔ΒͷϚϋϥϊϏεڑ#ͷํ͕େ͖͍ " #
يಓ্ϚϋϥϊϏεڑ͕Ұఆ Ξχϝʔγϣϯ༗ " #
σʔλ܈ͷ<ಛ> όϥπΩ Λߟྀͯ͠ॏ৺͔ΒͷڑΛࢉग़ " # Єɿσʔλ܈1ͷڞࢄߦྻ
Ҿ༻ɿฏ̏̌ࣗసंอ༗࣮ଶʹؔ͢ΔௐࠪใࠂॻΑΓ ɹɹɹ Ұൠࡒஂ๏ਓࣗసं࢈ۀৼڵڠձ
લॲཧ ɾϥϕϧΤϯίʔσΟϯά ɹɾྸ ɹɾ৬ۀ ɹɾࢪৣঢ়ଶ ɾൃੜ࣌ͷ ɹɾ݄ ɹɾ ɹɾ࣌ࠁ ɾࢢொଜίʔυɺൃੜͷԽ
ɹɾҢܦʹม
લॲཧ
શମਤ IFSPLV Φʔϓϯσʔλ
ةݥͱग़ͨΒ
ݱঢ় ࣗసंͰҠಈͰ͖ΔൣғͰ҆શείΞมಈ͠ͳ͍ɻ ͳͥͳΒ ΦʔϓϯσʔλͰऩू͞ΕͨҐஔใͱͯ͠ࢢொଜϨϕϧ ·Ͱ͔͠ಛఆͰ͖͍ͯͳ͍ใ͋ΔͨΊɻ ࢢΛൈ͚ΔΑ͏ͳҠಈΛ͠ͳ͍ͱةݥΛճආͰ͖ͳ͍ɻ σʔλੳͷ؍͔Βͷվળ पลࢪઃͷใߟྀ͢ΔͱɺࣗసंʹΑΔҠಈͰ҆શε ίΞΛมಈͤ͞Δ͜ͱ͕ՄೳʹͳΔɻ
None
Φʔϓϯσʔλͷஶ࡞ݖදه ݝاըৼڵ෦ใࡦ՝ͷଜ༷