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
0
370
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
Tweet
Share
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
5.3k
How to create a service, How to google !
yoheimune
0
300
Machine Learning Basic and Python
yoheimune
1
510
Python Scraping and Web Apps for G's ACADEMY TOKYO
yoheimune
0
240
DevelopWorkflow and Solving Problems
yoheimune
0
450
Git and Github for Beginners
yoheimune
1
290
Data Science BOOTCAMP Practices - Recommendation
yoheimune
0
210
Machine Learning with Python
yoheimune
0
350
Python Basics for G's ACADEMY TOKYO
yoheimune
1
620
Other Decks in Science
See All in Science
データベース05: SQL(2/3) 結合質問
trycycle
PRO
0
720
06_浅井雄一郎_株式会社浅井農園代表取締役社長_紹介資料.pdf
sip3ristex
0
530
機械学習 - pandas入門
trycycle
PRO
0
280
01_篠原弘道_SIPガバニングボード座長_ポスコロSIPへの期待.pdf
sip3ristex
0
560
トラブルがあったコンペに学ぶデータ分析
tereka114
2
1.6k
統計的因果探索: 背景知識とデータにより因果仮説を探索する
sshimizu2006
4
940
Machine Learning for Materials (Challenge)
aronwalsh
0
310
機械学習 - 授業概要
trycycle
PRO
0
210
2025-06-11-ai_belgium
sofievl
1
130
KH Coderチュートリアル(スライド版)
koichih
1
42k
研究って何だっけ / What is Research?
ks91
PRO
1
110
実力評価性能を考慮した弓道高校生全国大会の大会制度設計の提案 / (konakalab presentation at MSS 2025.03)
konakalab
2
180
Featured
See All Featured
A designer walks into a library…
pauljervisheath
207
24k
Visualization
eitanlees
146
16k
The Art of Programming - Codeland 2020
erikaheidi
54
13k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
18
1k
KATA
mclloyd
30
14k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
3.9k
Typedesign – Prime Four
hannesfritz
42
2.7k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
229
22k
Stop Working from a Prison Cell
hatefulcrawdad
271
21k
Rebuilding a faster, lazier Slack
samanthasiow
83
9.1k
Optimising Largest Contentful Paint
csswizardry
37
3.3k
Imperfection Machines: The Place of Print at Facebook
scottboms
267
13k
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