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
310
Machine Learning Basic and Python
yoheimune
1
530
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
300
Data Science BOOTCAMP Practices - Recommendation
yoheimune
0
220
Machine Learning with Python
yoheimune
0
360
Python Basics for G's ACADEMY TOKYO
yoheimune
1
630
Other Decks in Science
See All in Science
データマイニング - コミュニティ発見
trycycle
PRO
0
160
NASの容量不足のお悩み解決!災害対策も兼ねた「Wasabi Cloud NAS」はここがスゴイ
climbteam
1
190
アナログ計算機『計算尺』を愛でる Midosuji Tech #4/Analog Computing Device Slide Rule now and then
quiver
1
310
高校生就活へのDA導入の提案
shunyanoda
0
6k
機械学習 - K-means & 階層的クラスタリング
trycycle
PRO
0
1.1k
Hakonwa-Quaternion
hiranabe
1
140
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
390
システム数理と応用分野の未来を切り拓くロードマップ・エンターテインメント(スポーツ)への応用 / Applied mathematics for sports entertainment
konakalab
1
410
会社でMLモデルを作るとは @電気通信大学 データアントレプレナーフェロープログラム
yuto16
1
310
mOrganic™ Holdings, LLC.
hyperlocalnetwork
0
120
動的トリートメント・レジームを推定するDynTxRegimeパッケージ
saltcooky12
0
200
Quelles valorisations des logiciels vers le monde socio-économique dans un contexte de Science Ouverte ?
bluehats
1
550
Featured
See All Featured
Why You Should Never Use an ORM
jnunemaker
PRO
59
9.6k
The Straight Up "How To Draw Better" Workshop
denniskardys
238
140k
Learning to Love Humans: Emotional Interface Design
aarron
274
41k
Building a Scalable Design System with Sketch
lauravandoore
463
33k
The Cult of Friendly URLs
andyhume
79
6.6k
How to Ace a Technical Interview
jacobian
280
24k
Bash Introduction
62gerente
615
210k
Building Adaptive Systems
keathley
44
2.8k
Designing Experiences People Love
moore
142
24k
Build your cross-platform service in a week with App Engine
jlugia
233
18k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
2
62
YesSQL, Process and Tooling at Scale
rocio
173
15k
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