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
Data Science BOOTCAMP Practices
Search
Yohei Munesada
April 28, 2017
Science
400
0
Share
Data Science BOOTCAMP Practices
データサイエンス・機械学習の演習説明です。
http://www.sompo.io/bootcamp/
Yohei Munesada
April 28, 2017
More Decks by Yohei Munesada
See All by Yohei Munesada
G'sデータベース設計の講義
yoheimune
4
5.4k
How to create a service, How to google !
yoheimune
0
330
Machine Learning Basic and Python
yoheimune
1
540
Python Scraping and Web Apps for G's ACADEMY TOKYO
yoheimune
0
260
DevelopWorkflow and Solving Problems
yoheimune
0
470
Git and Github for Beginners
yoheimune
1
320
Data Science BOOTCAMP Practices - Recommendation
yoheimune
0
240
Machine Learning with Python
yoheimune
0
380
Python Basics for G's ACADEMY TOKYO
yoheimune
1
650
Other Decks in Science
See All in Science
Distributional Regression
tackyas
0
460
高校生就活へのDA導入の提案
shunyanoda
1
6.3k
Accelerated Computing for Climate forecast
inureyes
PRO
0
160
データから見る勝敗の法則 / The principle of victory discovered by science (open lecture in NSSU)
konakalab
1
300
コンピュータビジョンによるロボットの視覚と判断:宇宙空間での適応と課題
hf149
1
600
Deep Space Network (abreviated)
tonyrice
0
100
データマイニング - ノードの中心性
trycycle
PRO
0
360
Conversation is the New Dashboard: 属人性を排除する第4世代BIツールの勢力図
shomaekawa
1
480
My Little Monster
juzishuu
0
690
なぜ21は素因数分解されないのか? - Shorのアルゴリズムの現在と壁
daimurat
0
360
PPIのみを用いたAIによる薬剤–遺伝子–疾患 相互作用の同定
tagtag
PRO
0
200
YouTubeにおける撤回論文の参照実態 / metascience-meetup2026
corgies
3
220
Featured
See All Featured
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
330
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
2
3.8k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
32
2.8k
Ruling the World: When Life Gets Gamed
codingconduct
0
190
The Art of Programming - Codeland 2020
erikaheidi
57
14k
The Hidden Cost of Media on the Web [PixelPalooza 2025]
tammyeverts
2
260
Information Architects: The Missing Link in Design Systems
soysaucechin
0
860
エンジニアに許された特別な時間の終わり
watany
106
240k
The Illustrated Guide to Node.js - THAT Conference 2024
reverentgeek
1
330
Navigating Weather and Climate Data
rabernat
0
160
Game over? The fight for quality and originality in the time of robots
wayneb77
1
160
Max Prin - Stacking Signals: How International SEO Comes Together (And Falls Apart)
techseoconnect
PRO
0
140
Transcript
Data Science BOOTCAMP ΞϓϦέʔγϣϯ੍࡞ԋश Yohei Munesada
About Me 㾎फఆ༸ฏ ΉͶͩ͞Α͏͍ 㾎 ג αΠόʔΤʔδΣϯτ 㾎(`TΞΧσϛʔϝϯλʔ 㾎IUUQXXXZPIFJNOFU 㾎ͱσʔλαΠΤϯε
िؒɺΈͳ͞·͍͔͕Ͱͨ͠Ͱ͠ΐ͏͔ʁ
May think as … 㾎ֶతͳجૅΛड͚͖ͯͨɻ 㾎Ӭా͞ΜߨٛͰ৭ʑͱख๏ΛֶΜͰ͖ͨɻ 㾎ߨٛதͷԋशΛղ͍͚ͨͲɺͬͱ͍ͯ͠Δͱ͜Ζ͋Δɻ 㾎੍࡞ԋशΛ௨ͯ͠ɺʹ͚͍ͨͱ͜Ζʂ
May think as … ͦ͏ͩʂԿ͔࡞ͬͯΈΑ͏ʂ
Exercises .PWJF-FOTΛ༻͍ͨϨίϝϯσʔγϣϯͷߏங ࠃௐࠪσʔλΛ༻͍ͨσʔλαΠΤϯε ҙͷެ։σʔλΛ༻͍ͨػցֶश ػցֶशܥΫϥυ"1*Λ༻͍ͨαʔϏε։ൃ ඞਢ՝
બ՝
Objective ՌΛग़͢͜ͱ ϑϩʔʹԊͬͨ࡞ۀεςοϓΛ౿Ή͜ͱ
ϑϩʔʹԊͬͨ࡞ۀ
How to ԋशʹऔΓΉͷݸਓͰ ൃදάϧʔϓͰ
Schedule .PWJF-FOTΛ༻͍ͨϨίϝϯσʔγϣϯͷൃද 5VF ϫʔΫ࣭࣌ؒٙԠλΠϜ 8FE ҙ՝ͷൃද 'SJ
Exercises - MovieLens .PWJF-FOTΛ༻͍ͨϨίϝϯσʔγϣϯͷߏங ඞਢ՝ .PWJF-FOTͱ͍͏ެ։σʔλʹɺөըͷใɺϢʔβʔͷөըʹର͢Δใ ͳͲؚ͕·Ε·͢ɻͦΕΒσʔλΛ༻͍ͯϨίϝϯυγεςϜΛߏங͍ͯͩ͘͠͞ɻ ٻΊΔΞτϓοτ ɹɾϢʔβʔʹରͯ͠өըΛਪન͢Δ
ϙΠϯτ ɹɾਪનʹ͍ͭͯͲͷΑ͏ʹػցֶशͱͯ͠ఆٛ͢Δ͔ʁ ɹɾͳͥͦͷϞσϧΛબ͢Δͷ͔ʁ ɹɾ༧ଌ݁ՌͷධՁ݁ՌʁͲͷΑ͏ʹධՁ͢Εྑ͍͔ʁ
Exercises - MovieLens ར༻Մೳͳσʔλ ɹIUUQTHSPVQMFOTPSHEBUBTFUTNPWJFMFOT .PWJF-FOTΛ༻͍ͨϨίϝϯσʔγϣϯͷߏங ඞਢ՝
Exercises - MovieLens
Exercises - ࠃௐࠪ ࠃௐࠪσʔλΛ༻͍ͨσʔλαΠΤϯε બ՝ ࠃௐࠪσʔλ͔ΒਓޱɺՈߏɺ৬ۀͳͲ༷ʑͳใΛಘΔ͜ͱ͕Ͱ͖·͢ɻ ԿΒ͔ͷϏδωε՝Λఆٛͨ͠ͷͪʹɺࠃௐࠪσʔλΛ༻͍ͯϏδωεͷ ҙࢥܾఆΛॿ͚ΔใΛఏ͍ࣔͯͩ͘͠͞ɻ ٻΊΔΞτϓοτ
ɹɾఆٛͨ͠Ϗδωε՝Կ͔ʁ ɹɾͦΕʹରͯ͠ࠃௐࠪσʔλΛͲͷΑ͏ʹ׆༻͔ͨ͠ʁ Ϗδωε՝ྫ ɹɾ*5ڭҭϏδωεΛల։͍ͨ͠ɻͲͷࢢொଜΛλʔήοτʹ͢Δ͖͔ʁ ɹɾϑΟϦϐϯਓʹ͚ͨΧϑΣϏδωεΛߦ͍͍ͨɻͲ͜ͰΔ͔ʁ ɹɾͳͲ
ར༻Մೳͳσʔλ ɹIUUQXXXTUBUHPKQEBUBLPLVTFJJOEFYIUN Exercises - ࠃௐࠪ ࠃௐࠪσʔλΛ༻͍ͨσʔλαΠΤϯε બ՝
Exercises - ࠃௐࠪ
Exercises - ҙͷσʔλͰʂ ҙͷެ։σʔλΛ༻͍ͨػցֶश બ՝ ੈͷதʹ༷ʑͳσʔλ͕ެ։͞Ε͓ͯΓɺػցֶशʹར༻Ͱ͖Δσʔλ ଟʑଘࡏ͠·͢ɻڵຯͷ͋Δσʔλʹ͍ͭͯԾઆΛఆٛͯ͠ػցֶशΛߦ͍ɺ ԿΒ͔ͷՌΛग़͢औΓΈΛ͍ͯͩ͘͠͞ɻ ٻΊΔΞτϓοτ
ɹɾͲͷΑ͏ͳσʔλΛ͏͔ʁ ɹɾͲΜͳԾઆΛઃఆ͔ͨ͠ʁ ɹɾͲͷΑ͏ͳՌΛಋ͍ͨͷ͔ʁ·ͨͦΕΛͲͷΑ͏ʹಋ͍ͨͷ͔ʁ
ར༻Մೳͳσʔλྫ ɹ6$*.BDIJOF-FBSOJOH ɹɹIUUQBSDIJWFJDTVDJFEVNM ɹࠃཱใֶݚڀॴ ɹɹIUUQXXXOJJBDKQETDJESEBUBMJTUIUNM ɹ%"5"(0+1 ɹɹIUUQXXXEBUBHPKQ ɹ*NBHF/FU ɹɹIUUQXXXJNBHFOFUPSH Exercises
- ҙͷσʔλͰʂ ɹ,BHHMF ɹɹIUUQTXXXLBHHMFDPNEBUBTFUT ɹ-JWFEPPSχϡʔε ɹɹIUUQOFXTMJWFEPPSDPN ɹ౦ژϝτϩΦʔϓϯσʔλ ɹɹIUUQTEFWFMPQFSUPLZPNFUSPBQQKQJOGP ɹ5XJUUFS"1*ɺͳͲ ҙͷެ։σʔλΛ༻͍ͨػցֶश બ՝
Exercises - ҙͷσʔλͰʂ
Exercises - ػցֶशAPIΛͬͯʂ ػցֶशܥΫϥυ"1*Λ༻͍ͨαʔϏε։ൃ બ՝ (PPHMF"84"[VSF#JOH*#.ͷ֤αʔϏεͰػցֶशܥͷ"1*͕ ఏڙ͞Ε͍ͯΔʢྫɿإೝࣝɺԻೝࣝɺςΩετUPεϐʔνɺFUDʣɻ ͜ΕΒͷ"1*Λ͍ɺԿΒཱ͔ͪͦ͏ͳΞϓϦαʔϏεΛ੍࡞͍ͯͩ͘͠͞ɻ ٻΊΔΞτϓοτ
ɹɾͲͷ"1*Λར༻͢Δͷ͔ʁ ɹɾԿʹཱͯΔͷ͔ʁͲͷΑ͏ͳαʔϏε͔ʁ ग़ҙਤ ɹɾֶशࡁΈͷϞσϧΛͲͷΑ͏ʹ࣮ੈքͰ׆͔͢ͷ͔ɺͦΕΛߟ͑ߦಈ͢Δɻ
Exercises - ػցֶशAPIΛͬͯʂ
Exercises બ՝͕͔͔࣌ؒΓ·͢ͷͰɺ ͓ૣΊʹʂ .PWJF-FOTΛ༻͍ͨϨίϝϯσʔγϣϯͷߏங ࠃௐࠪσʔλΛ༻͍ͨσʔλαΠΤϯε ҙͷެ։σʔλΛ༻͍ͨػցֶश
ػցֶशܥΫϥυ"1*Λ༻͍ͨαʔϏε։ൃ ඞਢ՝ બ՝
Q and A ࣭ٙԠλΠϜ
Team Building άϧʔϓ͚Λ͠·͢ ʢʙਓఔʣ
Team Building ࣗݾհͱσΟεΧογϣϯ
Thank you ͦΕͰྑ͍σʔλαΠΤϯεΛʂ