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
Amazon SageMakerの最新アップデートの紹介
Search
tandfy
December 16, 2019
Programming
940
1
Share
Amazon SageMakerの最新アップデートの紹介
re:Growth 2019 Osakaでの発表内容です。
tandfy
December 16, 2019
More Decks by tandfy
See All by tandfy
アプリから集まるイベントデータのリアルタイム処理入門
tandfy
0
1.7k
Amazon Personalizeではじめるレコメンドサービス
tandfy
0
1.2k
DeepRacerで学ぶ機械学習 1.1
tandfy
0
1k
DeepRacerで始める機械学習
tandfy
1
1.8k
DeepRacerでまなぶ強化学習
tandfy
1
1.5k
Amazon SageMakerではじめる物体検出
tandfy
1
1.1k
Other Decks in Programming
See All in Programming
AWS re:Invent 2025の少し振り返り + DevOps AgentとBacklogを連携させてみた
satoshi256kbyte
3
160
AIベース静的検査器の偽陽性率を抑える工夫3選
orgachem
PRO
3
310
The Monolith Strikes Back: Why AI Agents ❤️ Rails Monoliths
serradura
0
330
〜バイブコーディングを超えて〜 チームで実験し続けたAI駆動開発
tigertora7571
0
110
Offline should be the norm: building local-first apps with CRDTs & Kotlin Multiplatform
renaudmathieu
0
210
ソフトウェア設計の結合バランス #phperkaigi
kajitack
0
130
Lightning-Fast Method Calls with Ruby 4.1 ZJIT / RubyKaigi 2026
k0kubun
3
410
10年分の技術的負債、完済へ ― Claude Code主導のAI駆動開発でスポーツブルを丸ごとリプレイスした話
takuya_houshima
0
2.6k
アーキテクチャモダナイゼーションとは何か
nwiizo
19
5.2k
Spec Driven Development | AI Summit Vilnius
danielsogl
PRO
1
100
2026_04_15_量子計算をパズルとして解く
hideakitakechi
0
110
SREに優しいTerraform構成 modulesとstateの組み方
hiyanger
2
130
Featured
See All Featured
The Illustrated Children's Guide to Kubernetes
chrisshort
51
52k
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
170
Thoughts on Productivity
jonyablonski
76
5.1k
Faster Mobile Websites
deanohume
310
31k
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
1.2k
Leadership Guide Workshop - DevTernity 2021
reverentgeek
1
270
世界の人気アプリ100個を分析して見えたペイウォール設計の心得
akihiro_kokubo
PRO
69
39k
Six Lessons from altMBA
skipperchong
29
4.2k
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
SERP Conf. Vienna - Web Accessibility: Optimizing for Inclusivity and SEO
sarafernandez
2
1.4k
How People are Using Generative and Agentic AI to Supercharge Their Products, Projects, Services and Value Streams Today
helenjbeal
1
160
The Power of CSS Pseudo Elements
geoffreycrofte
82
6.2k
Transcript
"NB[PO4BHF.BLFS࠷৽Ξοϓσʔτ େᖒ༐ే SF(SPXUI04","
ࣗݾհ େᖒ༐ే σʔλΞφϦςΟΫεࣄۀຊ෦ΠϯςάϨʔγϣϯ෦ ػցֶशνʔϜΤϯδχΞ!େࡕ w 4BHF.BLFSؔ࿈ϒϩάຊ d w
SF*OWFOUࢀՃճ
εϥΠυޙͰೖख͢Δ͜ͱ͕ग़དྷ·͢ͷͰ ൃදதͷ༰ΛϝϞ͢Δඞཁ͋Γ·ͤΜɻ ࣸਅࡱӨΛ͢Δ߹ ϑϥογϡɾγϟολʔԻ͕ग़ͳ͍Α͏ʹྀ͍ͩ͘͝͞ Attention
SF*OWFOU ػցֶशؔ࿈ͷΞοϓσʔτ͕৭ʑ͋Γ·ͨ͠
ػցֶशؔ࿈Ξοϓσʔτ w "84%FFQ$PNQPTFS ϓϨϏϡʔ w $POUBDU-FOTGPS"NB[PO $POOFDU ϓϨϏϡʔ
w "NB[PO'SBVE%FUFDUPS ϓϨϏϡʔ w "NB[PO,FOESB ϓϨϏϡʔ w "NB[PO$PEF(VSV ϓϨϏϡʔ w "NB[PO"VHNFOUFE"* ϓϨϏϡʔ w"NB[PO4BHF.BLFS4UVEJP w"NB[PO4BHF.BLFS/PUFCPPLT ϓϨϏϡʔ w"NB[PO4BHF.BLFS%FCVHHFS w"NB[PO4BHF.BLFS&YQFSJNFOUT w"NB[PO4BHF.BLFS"VUPQJMPU w"NB[PO4BHF.BLFS1SPDFTTJOH w"NB[PO4BHF.BLFS.PEFM.POJUPS w"NB[PO4BHF.BLFSͷ%FFQ(SBQI-JCSBSZର Ԡ w"NB[PO4BHF.BLFS0QFSBUPSTGPS ,VCFSOFUFT
ػցֶशؔ࿈Ξοϓσʔτ w "84%FFQ$PNQPTFS ϓϨϏϡʔ w $POUBDU-FOTGPS"NB[PO$POOFDU ϓϨϏϡʔ
w "NB[PO'SBVE%FUFDUPS ϓϨϏϡʔ w "NB[PO,FOESB ϓϨϏϡʔ w "NB[PO$PEF(VSV ϓϨϏϡʔ w "NB[PO"VHNFOUFE"* ϓϨϏϡʔ w"NB[PO4BHF.BLFS4UVEJP w"NB[PO4BHF.BLFS/PUFCPPLT ϓϨϏϡʔ w"NB[PO4BHF.BLFS%FCVHHFS w"NB[PO4BHF.BLFS&YQFSJNFOUT w"NB[PO4BHF.BLFS"VUPQJMPU w"NB[PO4BHF.BLFS1SPDFTTJOH w"NB[PO4BHF.BLFS.PEFM.POJUPS w"NB[PO4BHF.BLFSͷ%FFQ(SBQI-JCSBSZ ରԠ w"NB[PO4BHF.BLFS0QFSBUPSTGPS ,VCFSOFUFT
ࠓ͢༰ w"NB[PO4BHF.BLFS4UVEJP w"NB[PO4BHF.BLFS/PUFCPPLT w"NB[PO4BHF.BLFS%FCVHHFS w"NB[PO4BHF.BLFS &YQFSJNFOUT w"NB[PO4BHF.BLFS"VUPQJMPU w"NB[PO4BHF.BLFS1SPDFTTJOH w"NB[PO4BHF.BLFS.PEFM.POJUPS
w"NB[PO4BHF.BLFSͷ%FFQ(SBQI-JCSBSZରԠ w"NB[PO4BHF.BLFS0QFSBUPSTGPS,VCFSOFUFT wػցֶशʹ͓͚ΔϫʔΫϑϩʔ w"NB[PO4BHF.BLFS֓ཁ w"NB[PO4BHF.BLFSͷ֤छΞοϓσʔτ༰
ػցֶशͷϫʔΫϑϩʔ
ػցֶशͷϫʔΫϑϩʔ
ػցֶशͷϫʔΫϑϩʔ ࣮ݧΛ܁Γฦ͢
ػցֶशͷϫʔΫϑϩʔ ͻͨ͢Β܁Γฦ͢
"NB[PO4BHF.BLFS
͜Ε·Ͱͷ "NB[PO4BHF.BLFS ΠϯϑϥཧෆཁͰ&%"͔ΒϞσϧͷӡ༻·ͰՄೳͳ ػցֶशͷϑϧϚωʔδυαʔϏε w+VQZUFSͷϗεςΟϯά wػցֶशϞσϧͷֶशͱϋΠύʔύϥϝʔλνϡʔχϯά wػցֶशϞσϧͷϗεςΟϯάͱόονਪ w֤छΈࠐΈΞϧΰϦζϜͷ༻ҙ֤छϑϨʔϜϫʔΫʹରԠ w"NB[PO4BHF.BLFS(SPVOE5SVUIϥϕϧ͚ͮ
Ξϊςʔγϣϯ δϣϒͷ࡞ͱཧ w"NB[PO4BHF.BLFS/FPϞσϧͷίϯύΠϧ w"NB[PO4BHF.BLFS4FBSDIֶशδϣϒͷݕࡧͱൺֱ
"NB[PO4BHF.BLFS ֤छΞοϓσʔτ༰
"NB[PO4BHF.BLFS4UVEJP
"NB[PO4BHF.BLFS4UVEJP ػցֶशͷͨΊͷ౷߹։ൃڥ *%& w+VQZUFS-BCϕʔε w"NB[PO4BHF.BLFSͷ֤ػೳͱ࿈ܞ wίʔυϕʔεͰͷ&%"͔Β࣮ݧɺӡ༻·ͰՄೳ w440ͰͷϢʔβཧɾΞΫηε͕Մೳ wΦϋΠΦϦʔδϣϯͰར༻Մೳ
"NB[PO4BHF.BLFS4UVEJP https://aws.amazon.com/jp/blogs/news/amazon-sagemaker-studio-the-first-fully-integrated-development-environment-for-machine-learning/
"NB[PO4BHF.BLFS/PUFCPPLT ϓϨϏϡʔ
"NB[PO4BHF.BLFS/PUFCPPLT ϓϨϏϡʔ +VQZUFSϊʔτϒοΫͷར༻ͱڞ༗͕؆୯ʹ w+VQZUFS+VQZUFS-BC͕ඵͰ͑Δ wΠϯϑϥཧෆཁ wϊʔτϒοΫͷڞ༗͕؆୯ʹͰ͖Δ wܭࢉϦιʔεͷΓସ͑؆୯
ϊʔτϒοΫͷڞ༗ https://aws.amazon.com/jp/blogs/news/amazon-sagemaker-studio-the-first-fully-integrated-development-environment-for-machine-learning/
"NB[PO4BHF.BLFS &YQFSJNFOUT
"NB[PO4BHF.BLFS&YQFSJNFOUT
"NB[PO4BHF.BLFS&YQFSJNFOUT ػցֶशδϣϒ࣮ݧͷཧɾൺֱΛΑΓ؆୯ʹ w࣮ݧ໊ͱτϥΠΞϧ໊Ͱ֤छδϣϒΛཧ w࣮ݧτϥΠΞϧͷू߹ɺτϥΠΞϧτϥΠΞϧίϯϙʔωϯτͰߏ w"NB[PO4BHF.BLFS4UVEJPͱ࿈ܞ͢Δ͜ͱͰɺ(6*Ͱͷ ཧͱൺֱ͕Մೳ
ֶश࣌ʹ͓͚ΔϩεͷมԽΛൺֱ https://aws.amazon.com/jp/blogs/news/amazon-sagemaker-studio-the-first-fully-integrated-development-environment-for-machine-learning/
"NB[PO4BHF.BLFS%FCVHHFS
"NB[PO4BHF.BLFS%FCVHHFS
"NB[PO4BHF.BLFS%FCVHHFS ϞσϧͷֶशΛޮԽ wֶशதʹࢦఆͨ͠σʔλΛऩू wֶशঢ়ଶͷϧʔϧϕʔεͷϞχλϦϯά w$MPVE8BUDIͱ࿈ܞͨ͠ϧʔϧϕʔεͷϦΞϧλΠϜΞΫ γϣϯ w5FOTPS'MPXɺ1Z5PSDIɺ.9/FUɺ9(#PPTUʹαϙʔτ
ࢹϧʔϧͷఆٛɺϧʔϧҧݕग़ɺϩεΧʔϒ https://aws.amazon.com/jp/blogs/news/amazon-sagemaker-studio-the-first-fully-integrated-development-environment-for-machine-learning/
"NB[PO4BHF.BLFS 1SPDFTTJOH
"NB[PO4BHF.BLFS1SPDFTTJOH
"NB[PO4BHF.BLFS1SPDFTTJOH લޙॲཧͱධՁॲཧͷϚωʔδυαʔϏε wεΫϦϓτͱ࣮ߦڥɺೖग़ྗใ͚ͩͰ࣮ߦՄೳ w"NB[PO4BHF.BLFSʹֶशҎ֎ͷॲཧΛΦϑϩʔυͰ͖Δ wಠࣗίϯςφͷར༻Մೳ
εΫϦϓτྫ https://aws.amazon.com/jp/blogs/news/amazon-sagemaker-processin-fully-managed-data-processing-and-model-evaluation/?nc1=b_rp
"NB[PO4BHF.BLFS.PEFM .POJUPS
"NB[PO4BHF.BLFS.PEFM.POJUPS
"NB[PO4BHF.BLFS.PEFM.POJUPS Ϟσϧӡ༻࣌ͷҟৗΛݕग़ wσϓϩΠͨ͠Ϟσϧͷೖग़ྗσʔλΛهɾੳ wϞχλϦϯάδϣϒͷఆظ࣮ߦ wϧʔϧϕʔεͰͷҟৗνΣοΫ w$MPVE8BUDIͱͷ࿈ܞ
͋Δಛྔͷ߹ܭͷൺֱ ج४σʔλͱϞχλϦϯάσʔλ https://aws.amazon.com/jp/blogs/news/amazon-sagemaker-studio-the-first-fully-integrated-development-environment-for-machine-learning/
"NB[PO4BHF.BLFS"VUPQJMPU
"NB[PO4BHF.BLFS"VUPQJMPU
"NB[PO4BHF.BLFS"VUPQJMPU "VUP.- w&%"͔ΒલॲཧɺΞϧΰϦζϜͷબɺֶशɺνϡʔχϯά ·ͰࣗಈͰ࣮ߦ wߦͬͨલॲཧֶशΛ࠶ݱՄೳͳϊʔτϒοΫͷࣗಈ࡞
"VUPQJMPUʹΑΔτϥΠΞϧҰཡ https://aws.amazon.com/jp/blogs/news/amazon-sagemaker-studio-the-first-fully-integrated-development-environment-for-machine-learning/
"NB[PO4BHF.BLFSͷ%FFQ (SBQI-JCSBSZରԠ
"NB[PO4BHF.BLFSͷ%FFQ(SBQI-JCSBSZରԠ "NB[PO4BHF.BLFSͰάϥϑσʔλͷֶश͕ΑΓ؆ ୯ʹ w%FFQ(SBQI-JCSBSZάϥϑߏΛ࣋ͬͨσʔλͷͨΊͷ 044ͷਂֶशϑϨʔϜϫʔΫ wόοΫΤϯυ1Z5PSDIͱ.9/FUʹରԠ wίϯςφΠϝʔδ͕༻ҙ͞Ε͍ͯΔͨΊɺεΫϦϓτͱύϥ ϝʔλɺσʔλ͚ͩͰֶशՄೳ
εΫϦϓτྫ https://aws.amazon.com/jp/blogs/news/now-available-on-amazon-sagemaker-the-deep-graph-library/?nc1=b_rp
"NB[PO4BHF.BLFS0QFSBUPS GPS,VCFSOFUFT
"NB[PO4BHF.BLFS0QFSBUPSGPS,VCFSOFUFT ,VCFSOFUFTΛհͨ͠4BHF.BLFSͷར༻͕Մೳʹ wϞσϧͷֶश͚ͩͰͳ͘ɺνϡʔχϯάϗεςΟϯάՄ ೳ w,VCFSOFUFT"1*LVCFDUM͔Β4BHF.BLFSͰͷδϣϒ͕࡞ Մೳ
ֶशδϣϒΛΧελϜϦιʔεͱͯ͠ఆٛ͠ɺ࣮ߦ https://aws.amazon.com/jp/blogs/news/introducing-amazon-sagemaker-operators-for-kubernetes/?nc1=b_rp
·ͱΊ
"NB[PO4BHF.BLFS͕ύϫʔΞοϓʂ %FFQ(SBQI-JCSBSZʹରԠʂ,VCFSOFUFT͔Β͑Δʂ