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
[動画あり] 線形回帰を題材に汎用的な理解を身につける:座学編
Search
数理の弾丸
April 09, 2024
130
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
[動画あり] 線形回帰を題材に汎用的な理解を身につける:座学編
YouTube:
https://youtu.be/54pe6MDaGI0
数理の弾丸
April 09, 2024
More Decks by 数理の弾丸
See All by 数理の弾丸
Claude Code × autoresearch 実践
mathbullet
0
210
【動画あり】Transformer論文解説
mathbullet
0
410
RAG:チャットボットの能力を底上げする技術
mathbullet
0
280
ゼロから始める大規模言語モデル入門
mathbullet
0
270
[動画あり] AI入門特急コース
mathbullet
0
230
Featured
See All Featured
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
420
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
23k
We Have a Design System, Now What?
morganepeng
55
8.2k
Bioeconomy Workshop: Dr. Julius Ecuru, Opportunities for a Bioeconomy in West Africa
akademiya2063
PRO
1
180
Large-scale JavaScript Application Architecture
addyosmani
515
110k
Documentation Writing (for coders)
carmenintech
77
5.4k
VelocityConf: Rendering Performance Case Studies
addyosmani
333
25k
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
Why Your Marketing Sucks and What You Can Do About It - Sophie Logan
marketingsoph
0
280
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
2
340
Facilitating Awesome Meetings
lara
57
7k
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
190
Transcript
ຊεϥΠυΛ༻ͨ͠ղઆಈը ֓ཁཝͷϦϯΫ͔Β
εϐʔΧʔ ٢ా ژେใܥ%"*ίϯαϧݴޠֶɾࣗવݴޠॲཧ εϛε چఇେଔ3ˍ%ݚڀһԽֶܥ
ࠓճͷΰʔϧ ઢܗճؼϞσϧͷϝΧχζϜͱͦͷॴɾॴΛΔ ઢܗճؼϞσϧͷ1ZUIPO࣮ΠϝʔδΛ࣋ͭ ্هΛ௨ͯ͠ɺ৽ͨͳϞσϧΛʮ׆༻Ͱ͖Δঢ়ଶ·Ͱཧղ͢Δʯ ͱ͍͏͜ͱͷഽײ֮Λ௫Ή
৽ͨͳϞσϧΛʮ׆༻Ͱ͖Δঢ়ଶ·Ͱཧղ͢Δʯͱ͍͏͜ͱͷഽײ֮Λ௫Ήͷؾ࣋ͪ ઢܗϞσϧ ܾఆ χϡʔϥϧωοτ Lฏۉ๏ ϚϧίϑϞσϧ FUD ৽ͨͳٕज़Λशಘ͢Δඞཁੑৗʹ͋Δ
ࠓճͷΰʔϧ ઢܗճؼϞσϧͷϝΧχζϜͱͦͷॴɾॴΛΔ ઢܗճؼϞσϧͷ1ZUIPO࣮ΠϝʔδΛ࣋ͭ ্هΛ௨ͯ͠ɺ৽ͨͳϞσϧΛʮ׆༻Ͱ͖Δঢ়ଶ·Ͱཧղ͢Δʯ ͱ͍͏͜ͱͷഽײ֮Λ௫Ή
͜ͷಈըͰ৮Εͳ͍͜ͱ ֶशΞϧΰϦζϜͷৄࡉ ࠷খೋ๏ʹΑΔύϥϝʔλ࠷దԽ ઢܗճؼͷੜख๏ ਖ਼ଇԽɺϩδεςΟοΫճؼFUD
ճؼͱʁ
ճؼͱʁ ճؼ େখʹҙຯͷ͋ΔΛ༧ଌ͢Δઃఆ
ճؼͱʁ ճؼ େখʹҙຯͷ͋ΔΛ༧ଌ͢Δઃఆ Ωϟϯϖʔϯछผ ސ٬ಛੑ ༧ଌ ޮՌࢦඪ ΩϟϯϖʔϯͷޮՌ༧ଌ ྫ
ճؼͱʁ ճؼ େখʹҙຯͷ͋ΔΛ༧ଌ͢Δઃఆ Ωϟϯϖʔϯछผ ސ٬ಛੑ ༧ଌ ޮՌࢦඪ ΩϟϯϖʔϯޮՌͷࣄલγϛϡϨʔγϣϯ ൢଅޮՌͷߴ͍ސ٬ಛੑͷൃݟ
ΩϟϯϖʔϯͷޮՌ༧ଌ ྫ
ճؼͱʁ ճؼ େখʹҙຯͷ͋ΔΛ༧ଌ͢Δઃఆ Ωϟϯϖʔϯछผ ސ٬ಛੑ ༧ଌ ޮՌࢦඪ ΩϟϯϖʔϯޮՌͷࣄલγϛϡϨʔγϣϯ ൢଅޮՌͷߴ͍ސ٬ಛੑͷൃݟ
ΩϟϯϖʔϯͷޮՌ༧ଌ ྫ આ໌มʢ༧ଌͷใݯͱ͢Δʣ తมʢ༧ଌͷରͱ͢Δʣ
ઢܗճؼϞσϧͱʁ
ઢܗճؼϞσϧͱʁ ઢܗճؼ తมΛઆ໌มͷҰ࣍ࣜͰ༧ଌ͢ΔϞσϧ y = w1 x1 + w2
x2 + b
ઢܗճؼϞσϧͱʁ ઢܗճؼ తมΛઆ໌มͷҰ࣍ࣜͰ༧ଌ͢ΔϞσϧ y = w1 x1 + w2
x2 + b આ໌ม తม ༧ଌͷରͱ͢Δ ༧ଌͷใݯͱ͢Δ
ઢܗճؼϞσϧͱʁ ઢܗճؼ తมΛઆ໌มͷҰ࣍ࣜͰ༧ଌ͢ΔϞσϧ y = w1 x1 + w2
x2 + b આ໌ม తม ύϥϝʔλ ಛʹ ʮઆ໌มͷ֤ΛͲΕ͘Β͍༧ଌʹӨڹͤ͞Δ͔ʯΛද͢ w ༧ଌͷରͱ͢Δ ༧ଌͷใݯͱ͢Δ
ΠϝʔδʮઢͷͯΊʯ ސ٬ಛੑʢFH݄ͨΓߪങֹʣ ޮՌࢦඪ
ΠϝʔδʮઢͷͯΊʯ ސ٬ಛੑʢFH݄ͨΓߪങֹʣ ޮՌࢦඪ
ΠϝʔδʮઢͷͯΊʯ ސ٬ಛੑʢFH݄ͨΓߪങֹʣ ޮՌࢦඪ
ΠϝʔδʮઢͷͯΊʯ ސ٬ಛੑʢFH݄ͨΓߪങֹʣ ޮՌࢦඪ ઢͷܗΛܾΊΔͷ͖ͱย w ͕͖ΛܾΊɺ ͕ยΛܾΊΔ w ͯ·Γͷྑ͞
Ͱܾ·Δ w ֶश Λσʔλʹ߹Θͤͯௐ͢Δ͜ͱ w b w, b w, b
ࠓճͷΰʔϧ ઢܗճؼϞσϧͷϝΧχζϜͱͦͷॴɾॴΛΔ ઢܗճؼϞσϧͷ1ZUIPO࣮ΠϝʔδΛ࣋ͭ ্هΛ௨ͯ͠ɺ৽ͨͳϞσϧΛʮ׆༻Ͱ͖Δঢ়ଶ·Ͱཧղ͢Δʯ ͱ͍͏͜ͱͷഽײ֮Λ௫Ή
ઢܗճؼϞσϧͷॴͱॴ
y = w1 x1 + w2 x2 + b ઢܗճؼϞσϧͷॴͱॴ
ॴ Ϟσϧͷ͕ࣜγϯϓϧͰɺֶशޙͷঢ়ଶΛղऍ͍͢͠ ➡︎ ୯ʹ༧ଌثͱͯ͠͏͚ͩͰͳ͘ɺཁҼੳʹ׆༻͍͢͠ 2.5 0.8
y = w1 x1 + w2 x2 + b ઢܗճؼϞσϧͷॴͱॴ
ॴ Ϟσϧͷ͕ࣜγϯϓϧͰɺֶशޙͷঢ়ଶΛղऍ͍͢͠ ➡︎ ୯ʹ༧ଌثͱͯ͠͏͚ͩͰͳ͘ɺཁҼੳʹ׆༻͍͢͠ 2.5 0.8
ॴ ઢܗճؼϞσϧͷॴͱॴ આ໌มͱతมͷؒʹઢܗͷ͕ؔͳ͍߹ɺ ͏·͘ϞσϦϯά͢Δͷ͍͠
ઢܗճؼϞσϧͷॴͱॴ ॴ આ໌มͱతมͷؒʹઢܗͷ͕ؔͳ͍߹ɺ ͏·͘ϞσϦϯά͢Δͷ͍͠ ॴ Ϟσϧͷ͕ࣜγϯϓϧͰɺֶशޙͷঢ়ଶΛղऍ͍͢͠ ➡︎ ୯ʹ༧ଌثͱͯ͠͏͚ͩͰͳ͘ɺཁҼੳʹ׆༻͍͢͠
ࠓճͷΰʔϧ ઢܗճؼϞσϧͷϝΧχζϜͱͦͷॴɾॴΛΔ ઢܗճؼϞσϧͷ1ZUIPO࣮ΠϝʔδΛ࣋ͭ ্هΛ௨ͯ͠ɺ৽ͨͳϞσϧΛʮ׆༻Ͱ͖Δঢ়ଶ·Ͱཧղ͢Δʯ ͱ͍͏͜ͱͷഽײ֮Λ௫Ή