Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
MLCT #5 Pipeline Jungles とたたかう話
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
soonraah
July 13, 2018
Technology
2k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
MLCT #5 Pipeline Jungles とたたかう話
soonraah
July 13, 2018
More Decks by soonraah
See All by soonraah
Amazon EMR でのバッチ処理 Spark アプリケーション運用で気をつけたいこと
soonraah
1
650
Apache Spark による推薦システム案件例
soonraah
11
8.1k
Spark MLlib でやってみる協調フィルタリング
soonraah
8
7.8k
Other Decks in Technology
See All in Technology
AIカンパニーへの転換を支えた、エンジニアの仕事の再定義
kworkdev
PRO
2
1.2k
Temporal 最高!でも改めて「日付」について調べたら人類の負債すぎる件
riyaamemiya
0
150
AIがコードを書く時代に、エンジニアは何で自分の価値を証明するのか / In an era where AI writes code how do engineers prove their value
carta_engineering
3
1.1k
Optunaの最新リリースv5.0について
pfn
PRO
0
120
1つのリクエストを追って理解する - llm-dのP/D分離
akhino
1
160
V8のArray.prototype.flatを最大約20倍速くするまでと、巨大OSSへの大規模コミットの道のり
riyaamemiya
0
290
10年後、Engineering 行為を剥奪されるとして、わたしたちは、どう、何を創ればいいだろうか。 / If Engineering Is Taken Away in 10 Years, How and What Should We Create?
bitkey
PRO
1
190
⾮構造化データを価値に変える AI エージェント基盤とその組織
ivry_presentationmaterials
0
190
実体験から学ぶ分析エージェントの開発と運⽤
recruitengineers
PRO
8
2.4k
go-sqletch
moznion
0
140
Rust で関数型ドメインモデリング
takonda
0
140
OptunaHub: ブラックボックス最適化のためのプラットフォーム
pfn
PRO
0
140
Featured
See All Featured
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
1
450
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
4
4.4k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
230
23k
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
750
How to Ace a Technical Interview
jacobian
280
24k
It's Worth the Effort
3n
188
29k
Chasing Engaging Ingredients in Design
codingconduct
0
360
How STYLIGHT went responsive
nonsquared
100
6.3k
Documentation Writing (for coders)
carmenintech
77
5.6k
Java REST API Framework Comparison - PWX 2021
mraible
34
9.8k
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
540
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
35k
Transcript
1JQFMJOF+VOHMFTͱ ͔ͨͨ͏ .BDIJOF-FBSOJOH$BTVBM5BML 'SJ !TPPOSBBI
"(&/%" • ຊͷ͓ • 1JQFMJOF+VOHMFTͱ • ฐࣾͷػցֶश • ฐࣾͷ 1JQFMJOF+VOHMFT
• վળ • ·ͱΊ 2
ຊͷ͓ • ৽͍͠ϑϨʔϜϫʔΫͷ͠·ͤΜ • ΞϧΰϦζϜͷ͠·ͤΜ • ػցֶशʹ·ͭΘΔٕज़తෛ࠴ͱͷ͖߹͍ํͷ Ұྫͱͯ͠ฐࣾͷ 1JQFMJOF+VOHMFTͱͦͷରࡦ ʹ͍ͭͯ͝հ͠·͢
3
1JQFMJOF+VOHMFTͱ • ػցֶशγεςϜͷΞϯνύλʔϯͷͭ • ػցֶशͷͨΊͷσʔλநग़ॲཧ͕ෳࡶʹͳͬͯ͠·͏͜ͱ • ଟछͷಛྔɺσʔλιʔε • +0*/͍ͬͺ͍ •
தؒϑΝΠϧͷग़ྗ • FUD • ਫ਼ΛٻΊ͍ͯ͘աఔͰͩΜͩΜෳࡶʹਐԽ͍ͯ͘͠ • ࢀߟ • .BDIJOF-FBSOJOH5IF)JHI*OUFSFTU$SFEJU$BSEPG5FDIOJDBM%FCU • )JEEFO5FDIOJDBM%FCUJO.BDIJOF-FBSOJOH4ZTUFNT 4
ฐࣾͷػցֶश • Πϯλʔωοτࠂ • ΑΓΫϦοΫ͞Ε͍݅͢ͷࠂʹߴ͘ೖࡳ͍ͨ͠ • $53 $MJDL5ISPVHI3BUJP ༧ଌ •
ֶशσʔλ • αϯϓϧࠂ͕දࣔ͞Εͨͱ͍͏Πϕϯτ • ಛྔදࣔ͞Εͨࠂʹͻͮ͘ಛ • ϥϕϧDMJDL͞Εͨ PS͞Εͳ͔ͬͨ • ৄͪ͘͜͠Β • ωοτࠂ৴αʔϏεʹ͓͚Δ.-γεςϜͷ࣮ͱӡ༻ • ωοτࠂ࣮ͰػցֶशΛ׆༻͢Δ্Ͱͷۤ࿑ 5
ฐࣾͷػցֶश DPOU`E • ֶशσʔλͷݩͱͳΔϩάΦϯϓϨ )JWFʹอଘ • ಛఆͷαʔό্Ͱඇࢄʗόονֶश 6 ֶश༻αʔό σʔλநग़
)%'4
ฐࣾͷ 1JQFMJOF+VOHMFT • )JWF2-ʹΑΔֶशσʔλநग़ • ෳͷ +0*/ΛؚΉෳࡶͳ͍ΫΤϦ • ͩΜͩΜͱਐԽ͍ͯ͠Δ •
ࣅͨΑ͏ͳɺ͔͠͠গ͠ҟͳͬͨϞσϧ͝ͱͷ ෳͷΫΤϦ • ςετ͕ͳ͍ • தؒσʔλΛग़ྗ͢Δଟஈͷॲཧ 7
ฐࣾͷ 1JQFMJOF+VOHMFT DPOU`E • Կ͕ى͔ͬͨ͜ • ! நग़݅ͷޡΓͷൃݟͷΕ • !
ϦϑΝΫλϦϯάͰ͖ͳ͍ • ! ϨϏϡʔ͕͖͍ͭ 8
վળ 1IBTF4QBSLBQQԽ • )JWF2-ʹΑΔநग़͔Β "QBDIF4QBSL • ͜ͷ࣌ͰϞσϧ͝ͱͷ OBJWFͳ࣮ • !
QSPT • ୯ମςετ͕هड़Մೳʹ • ͘ͳΓதؒϑΝΠϧΛग़ྗ͢Δଟஈॲཧ͕ෆཁʹ • " DPOT • )JWF2-ΑΓ։ൃͷෑډ͕ߴ͍ 4DBMB4QBSL 9
վળ 1IBTF$POGJHVSBUJPOԽ • Ϟσϧ͝ͱʹඞཁͳઃఆΛ :".-ܗࣜͷίϯϑΟά ϑΝΠϧʹهࡌ͠ɺͦΕΛಡΜͩ 4QBSLBQQ͕நग़ • OBJWFͳ࣮Λͨͨ͠Ίʹڞ௨ԽͰ͖Δͱ͜Ζ͕ݟ͑ͨ •
ίϯϑΟάʹಛɺσʔλظؒɺϑΟϧλॲཧͳͲΛࢦఆ • ! QSPT • جຊతʹ 4DBMB4QBSLͷ։ൃ͕ෆཁʹ • " DPOT • ͜Ε·Ͱͱେ͖͘ҟͳΔΑ͏ͳநग़ॲཧͷ։ൃίετ • ʢͰͦ͏ͦ͏ͳ͍ΑͶʣ 10
վળͷ·ͱΊ 11 1IBTF 5FTUBCJMJUZ &GGJDJFODZ .BJOUBJOBCJMJUZ 1IBTF վળલ ! !
" 1IBTF 4QBSLBQQԽ " " ! 1IBTF $POGJHVSBUJPOԽ " " " كʹ!
ػցֶशͷෛ࠴Λ͚ͬͭΔͷʹ ຊʹඞཁͳ͜ͱ 1BZJOHEPXO.-SFMBUFEUFDIOJDBMEFCUSFRVJSFT BTQFDJGJDDPNNJUNFOU XIJDIDBOPGUFOPOMZCF BDIJFWFECZBTIJGUJOUFBNDVMUVSF3FDPHOJ[JOH QSJPSJUJ[JOH BOESFXBSEJOHUIJTFGGPSUJTJNQPSUBOU GPSUIFMPOHUFSNIFBMUIPGTVDDFTTGVM.-UFBNT
)JEEFO5FDIOJDBM%FCUJO.BDIJOF-FBSOJOH4ZTUFNT ΑΓ 12
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠ 13