Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
輪講 The hundred ML3.3-3.5
Search
ganyariya
June 23, 2020
Programming
0
100
輪講 The hundred ML 3.3-3.5
https://github.com/tsukuba-mas/The_Hundred_ML
ganyariya
June 23, 2020
Tweet
Share
More Decks by ganyariya
See All by ganyariya
FastAPI+VercelでZennのバッジをお手軽に作る
ganariya
0
890
The Hundred Machine Learning 7.4-7.7
ganariya
0
63
ありがとう競技プログラミングこんにちはDocker
ganariya
0
1.6k
Other Decks in Programming
See All in Programming
Github Copilotのチャット履歴ビューワーを作りました~WPF、dotnet10もあるよ~ #clrh111
katsuyuzu
0
110
モデル駆動設計をやってみようワークショップ開催報告(Modeling Forum2025) / model driven design workshop report
haru860
0
270
TUIライブラリつくってみた / i-just-make-TUI-library
kazto
1
380
まだ間に合う!Claude Code元年をふりかえる
nogu66
5
820
FluorTracer / RayTracingCamp11
kugimasa
0
230
JETLS.jl ─ A New Language Server for Julia
abap34
1
390
Microservices Platforms: When Team Topologies Meets Microservices Patterns
cer
PRO
1
1k
DSPy Meetup Tokyo #1 - はじめてのDSPy
masahiro_nishimi
1
160
LLMで複雑な検索条件アセットから脱却する!! 生成的検索インタフェースの設計論
po3rin
3
710
Rediscover the Console - SymfonyCon Amsterdam 2025
chalasr
2
160
251126 TestState APIってなんだっけ?Step Functionsテストどう変わる?
east_takumi
0
320
Why Kotlin? 電子カルテを Kotlin で開発する理由 / Why Kotlin? at Henry
agatan
2
7.1k
Featured
See All Featured
Automating Front-end Workflow
addyosmani
1371
200k
A designer walks into a library…
pauljervisheath
210
24k
We Have a Design System, Now What?
morganepeng
54
7.9k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Thoughts on Productivity
jonyablonski
73
5k
Principles of Awesome APIs and How to Build Them.
keavy
127
17k
Practical Orchestrator
shlominoach
190
11k
Fireside Chat
paigeccino
41
3.7k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
16k
Context Engineering - Making Every Token Count
addyosmani
9
510
GitHub's CSS Performance
jonrohan
1032
470k
Navigating Team Friction
lara
191
16k
Transcript
ྠߨ 5IFIVOESFE.- HBOBSJZB ganariya ganariya2525 ganariya2525 ganariya’s blog ganariya
ganariya
%FDJTJPO5SFF-FBSOJOH
3 / N ֓ཁ • ܾఆͦͷ໊ͷ௨ΓܾఆΛߦ͏ͨΊͷ%"( • άϥϑͷ֤ϊʔυͰಛྔͷ൪ͷ ! (#)Λج४ʹͯ͠
σʔλΛࠨӈʹྨ͢Δ • ࠨϊʔυج४ະຬ • ӈϊʔυج४Ҏ্ • ʮ*%ʯͱ͍͏ΞϧΰϦζϜͱೋ͕ѻΘΕ͍ͯΔ͕ ͞ΒʹΑΓྑ͍ΞϧΰϦζϜଞΫϥεྨ͕͋Δ
4 / N 1SPCMFN4UBUFNFOU • ߦ͍͍ͨ͜ͱ{0, 1}ͷྨ • ͦͷͨΊʹɺܾఆͱ͍͏ϞσϧΛ࡞͢Δ
5 / N *%ର • *%ͱ͍͏ΞϧΰϦζϜΛ༻͍Δ • ࠷దԽج४ҎԼͷରΛ༻͍Δ • %&'
ܾఆͦͷͷͰ͋Γɺݸͷσʔλͷྨ͕Β ͘͠ྨ͢Δ͜ͱΛࢦ͢ • ϩδεςΟοΫճؼͱҟͳΓύϥϝʔλΛ୳ࡧͤͣ %&' = Pr( = 1|)͕Β͘͠ͳΔϞσϧΛߏங͢Δ
6 / N ΞϧΰϦζϜ खॱ̍ • = { ! ,
! ) !() * Λϥϕϧ͚͞Εͨαϯϓϧͱ͢Δ • ࠜϊʔυͷఆϞσϧ%&' + %&' + = 1 || 2 , ,. ∈+ !"# $ は根における = 1の割合・確率 定数である この時点であればどんな⼊⼒xを⼊れても 分類は「これまでのサンプルにおけるy=1の 割合」で⾏うしか無い
7 / N ΞϧΰϦζϜ खॱ • ಛྔ = 1, …
, ͱᮢΛఆΊͯࠓͷϊʔυ+ ͷσʔλΛ ̎ͭͷू߹(ࢠϊʔυ)0 , 1 ʹྨ͢Δ • % = {(x, )| x, ∈ , x & < } • ' = {(x, )| x, ∈ , x & ≥ } • ະσʔλx͕༩͑ΒΕͨ࣌ ࢠϊʔυʹҠಈͯ͠ ͞Βʹਖ਼֬ʹྨͰ͖Δ • खॱ̎Λ͋ͱ܁Γฦ͢
8 / N ύϥϝʔλ • ͜͜Ͱൃੜ͢Δͱͯ͠ ʮ্खʹ, Λઃఆ͢Δʯඞཁ͕͋Δ ্खʹϥϕϧͰׂ͞Εͯ΄͍͠ •
ʮΤϯτϩϐʔʯΛ༻͍ͯ͏·ׂ͘͢Δ͜ͱʹ͢Δ
9 / N Τϯτϩϐʔ • Τϯτϩϐʔෳࡶ͞Ͱ͋ΓʮใͷՁʯ ௨৴ཧ ͱ ଊ͑Δͱ͔Γ͍͢ •
͋ͳͨࠓʮ4Ωϟϥ͕ग़ΔʯώϯτΛಘͨ • ͱͱ֬ఆ4Ωϟϥ͔͠Ͱͳ͍Ψνϟ Τϯτϩϐʔখ͍͞ • ͯ͢ͷϥϯΫ͕ಉ֬ͷΨνϟ Τϯτϩϐʔେ͖͍ • ࣄ͕ى͜Δͱͬͨͱ͖ͷΤϯτϩϐʔ = −log()
10 / N ฏۉΤϯτϩϐʔ • ฏۉΤϯτϩϐʔʮෳͷࣄʯ͕ى͜Δͱ͖ͷ ͋ΔࣄΛͬͨͱ͖ͷʮخ͠͞ʯͷฏۉ ฏۉΤϯτϩϐʔ͕େ͖͍΄ͲෳࡶͰᐆດ • =
− ∑( × log) • ΨνϟͰܭࢉͯ͠ΈΔ • ʮ4 "ʯ • ʮ4 "ʯ • ʮ4 "ʯ
11 / N ฏۉΤϯτϩϐʔ • ฏۉΤϯτϩϐʔʮෳͷࣄʯ͕ى͜Δͱ͖ͷ ͋ΔࣄΛͬͨͱ͖ͷʮخ͠͞ʯͷฏۉ ฏۉΤϯτϩϐʔ͕େ͖͍΄ͲෳࡶͰᐆດ • =
− ∑( × log) • ΨνϟͰܭࢉͯ͠ΈΔ • ʮ4 "ʯ • ʮ4 "ʯ • ʮ4 "ʯ
12 / N *%ͷΤϯτϩϐʔ • αϯϓϧू߹ͷΤϯτϩϐʔ • , Ͱׂͨ࣌͠ͷΤϯτϩϐʔ 0
, 1 • % , ' ͕খ͘͞ͳΔΑ͏ʹ, ΛఆΊΔ
13 / N ఀࢭ݅ • ͯ͢ͷ༿ϊʔυͷαϯϓϧσʔλ͕ྨ͞Εͨ࣌ • ∀ ͰׂͰ͖ͳ͍ •
Τϯτϩϐʔ͕͋ΔΑΓݮΒͳ͍ • ਂ͕͞࠷େਂ͞ʹ౸ୡͨ͠ • , ࣮ݧతʹઃఆ͢Δ
14 / N • ࠷దղอূ͞Εͳ͍ • աֶश͢ΔՄೳੑߴ͍ • όοΫτϥοΫͰվળ͢Δ͔͠Εͳ͍
• վྑͷྫʹ$͕͋Δ • ࿈ଓɾࢄͰ͑Δ • QSVOJOHΛ͢Δ ྨʹد༩͠ͳ͍ࢬΛআ͢Δ
4VQQPSU7FDUPS.BDIJOF
16 / N • جຊͰ͍͑ͯΔ ͦ͜Ͱɺ47.ͷͭͷݒ೦ࣄ߲Λߟ͑Δ ϊΠζσʔλ͕͋ͬͯฏ໘ͰશʹྨͰ͖ͳ͍ͱ͖ Ͳ͏͢Δʁ
ฏ໘ʢઢܗʣͰׂͰ͖ͳ͍ͱ͖Ͳ͏͢Δʁ
17 / N 47.SFWJFX • 47.͕ຬ͖ͨ݅͢ • 47.ͷతؔ ϋʔυϚʔδϯ •
w ) Λ࠷খʹ͢Εਖ਼ͱෛͷ෯͕͕ͬͯ͏Ε͍͠ • ೋ࣍ܭը࠷దԽͰղ͘͜ͱ͕Ͱ͖Δ • * ) ɺޯ߱Լ๏ͳͲͰඍͨ͠ͱ͖ʹָͳͷͰ͚ͭΔ
18 / N ϊΠζରࡦ • ઢܗͰ͖ͳ͍σʔλͷͨΊʹώϯδଛࣦ ؔ Λಋೖ • =
max(0, 1 − ) • max(0, 1 − + (+ − )) • ώϯδଛࣦ খ͍ͨ͘͞͠ʂ 0 1 2 5
19 / N ϊΠζରࡦ • ώϯδଛࣦΛಋೖͨ͠ͱ͖ͷ࠷খԽ͢Δతؔ ॏΈ͚ ʢιϑτϚʔδϯʣ • ͕େ͖͍ͱʮʯ
• ͕খ͍͞ͱʮʯ 0 2
20 / N ϊΠζରࡦ • ώϯδଛࣦΛಋೖͨ͠ͱ͖ͷ࠷খԽ͢Δతؔ ॏ Έ͚ ʢιϑτϚʔδϯʣ •
͕େ͖͍ͱʮਅΜதΛऔΔʯ • ͕খ͍͞ͱʮਅΜதແࢹ ͩ͢͠ʯ 0 2
21 / N ݻ༗ඇઢܗੑ త 47.ͰઢܗͰ͖ͳ͍σʔλʹରॲ͍ͨ͠ ରࡦ๏ • ʮΦϦδφϧͷۭؒʯΛʮߴ࣍ݩۭؒʯʹมͯ͠ ͦͷۭؒͰઢܗ͢Δ
తؔͷ࠷దԽʹ͓͍ͯ͜ͷมΛ༻͍Δ͜ͱΛ ʮΧʔωϧτϦοΫʯͱ͍͏
22 / N ΧʔωϧτϦοΫྫ • ϕΫτϧΛߴ࣍ݩʹม͢ΔؔΛఆٛ͢Δ : x → x
• x = [, ]ͷͱ͖ , = (2, 2, 2)ͱ͍͏ؔͱ͢Δ
23 / N • ͕ݟ͔ͭΕઢܗͰ͖Δ͕ ࣮ࡍʹ୳ࡧ͢Δͷܭࢉྔ͕ݫ͍͠ • ઌۦऀ͕ʮΧʔωϧؔʯͳΔͷΛݟ͚͍ͭͯΔͨΊ ͜ͷؔΛͬͯߴ࣍ݩʹҠ͍͍ͤ
• ͨͩ͜͠ͷΧʔωϧͷಈ࡞Λཧղ͢Δʹɺ47.͕ , Λݟ͚ͭΔ࠷దԽΞϧΰϦζϜΛཧղ͠ͳ͍ͱ͍͚ͳ͍
24 / N • ݩͷతؔ࠷దԽͱͯ͠ϥάϥϯδϡ๏Ͱ ղ͘͜ͱ͕Ͱ͖Δʢϥάϥϯδϡ͍֮͑ͯ·ͤΜʣ • + ϥάϥϯδϡ
• Լଆͷࣜʹ͢Δ͜ͱͰɺತੑͷೋ࣍࠷దԽʹͳΓ ΑΓޮతʹೋ࣍ܭըͱͯ͠ղ͚Δ • ͜ΕͰྑͦ͞͏ŋŋŋʁʁʁʁ
25 / N • צͷӶ͍ಡऀͳΒ͓ؾ͖ͮͩͱࢥ͏͕! 3 ্͕ͷࣜʹ͋Δ • ͠Ͱߴ࣍ݩʹ͢Δͱ
! # ܭࢉྔ͕ ॏ͘ͳͬͯ͠·͏͕͋Δ • ͜͜Ͱʮ! 3 ͷ݁Ռ͔͑͞Εྑ͍ʯ ͦ͜ͰɺΧοτੵΧοτ͔ͯ͠ΘΓʹ ΧʔωϧτϦοΫΛ༻͍ΕΑ͍
26 / N τϦοΫͷྫ ! , " = ! "
# カーネル関数
27 / N • ༗໊ͳΧʔωϧؔʹ3#'Χʔωϧ͕͋Δ • x − x4
2 ͭͷϕΫτϧͷϢʔΫϦουڑͷ • = ) 25, 1ͭͷ܇࿅σʔλ͕༩͑ΔӨڹͷൣғ • ͕খ͍͞΄Ͳԕ͘·ͰӨڹͯ͠ ޓ͍ͷڥքͰࣝผۂઢ͕Ҿ͔ΕΔ ୯७ • ͕େ͖͍ͱ͚ۙͩ͘Өڹͯ͠ ͍ͼͭͳܗͷࣝผۂઢ͕Ҿ͔ΕΔ ෳࡶ • ͪΐ͏Ͳ͍͍ؤுͬͯ୳͢
L/FBSFTU/FJHICPST
29 / N L// • L//ύϥϝʔλΛ࣋ͨͳֶ͍शΞϧΰϦζϜ • ֶशσʔλΛͯ͢ϝϞϦʹهԱ͓͖ͯ͠ ֶशσʔλΛͱʹ৽͍͠σʔλΛྨ͢Δ •
৽͍͠σʔλx͕དྷͨΒͬͱ͍ۙݸͷϥϕϧΛΈͯ ྨճؼͷॲཧΛߦ͏ https://medium.com/@kristian.roopnarine/building-a-k-nearest- neighbor-algorithm-with-the-iris-dataset-b7e76867f5d9
30 / N L// • ϢʔΫϦουڑίαΠϯྨࣅͰ ࠷͍ۙݸΛબͿ • ଞʹ৭ʑछྨ͕͋Δ •
ϋΠύʔύϥϝʔλͳͷͰ࣮ݧతʹ୳ͦ͏ σʔλ͔Βֶश͢Δํ๏͋Δ͕ষͰड़Δ
31 / N L//