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
Build2019で発表された機械学習系をためしてみた
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Masakazu Muraoka
May 23, 2019
Technology
110
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Build2019で発表された機械学習系をためしてみた
Masakazu Muraoka
May 23, 2019
More Decks by Masakazu Muraoka
See All by Masakazu Muraoka
たぶんオレのはPMじゃない
bathtimefish
0
62
猫と私とGCP
bathtimefish
4
570
Other Decks in Technology
See All in Technology
スタートアップにAmazon EKSは早すぎる? マルチプロダクト戦略を加速する Platform Engineeringの実践 / Is Amazon EKS Too Soon for Startups? Practical Platform Engineering to Accelerate a Multi-Product Strategy
elmodev09
1
490
AI駆動開発を通して感じた、 AI時代のデザイナーの役割変化
whisaiyo
4
2.3k
エラーバジェットのアラートのタイミングを考える.pdf
kairim0
0
180
攻撃者視点で考えるDetection Engineering
cryptopeg
3
2k
Oracle Cloud Infrastructure:2026年6月度サービス・アップデート
oracle4engineer
PRO
0
140
2026TECHFRESH畢業分享會 - Lightning Talk - 打造精準高效的 MCP 設計模式與測試實務
line_developers_tw
PRO
0
1.3k
脆弱性対応、どこで線を引くか
rymiyamoto
1
420
SONiC Scale-Up Working Group から探る Scale-UpやUltraEthernet機能の実装方法
ebiken
PRO
2
420
Kiroで書いた 設計書 が AI レビューの 採点基準 になる
ezaki
0
130
アジャイルな経理と Claude Code と経営の未来
kawaguti
PRO
3
170
MUSUBI 田中裕一『AIと共に行う「しごとのリデザイン」- スモールバックオフィス編』AI Ops Lab #4
musubi
0
280
Kubernetesにおける学習基盤とLLMOpsの概要
ry
1
320
Featured
See All Featured
GraphQLの誤解/rethinking-graphql
sonatard
75
12k
The agentic SEO stack - context over prompts
schlessera
0
820
Kristin Tynski - Automating Marketing Tasks With AI
techseoconnect
PRO
0
270
The Anti-SEO Checklist Checklist. Pubcon Cyber Week
ryanjones
0
170
Money Talks: Using Revenue to Get Sh*t Done
nikkihalliwell
0
250
The Mindset for Success: Future Career Progression
greggifford
PRO
0
360
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
10
1.2k
Why You Should Never Use an ORM
jnunemaker
PRO
61
9.9k
We Are The Robots
honzajavorek
0
250
Joys of Absence: A Defence of Solitary Play
codingconduct
1
400
Game over? The fight for quality and originality in the time of robots
wayneb77
1
200
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.3k
Transcript
Copyright(c) Kobe Digital Labo Inc. #VJMEͰൃද͞ΕͨػցֶशܥΛͨΊͯ͠Έͨ ଜԬਖ਼
Copyright(c) Kobe Digital Labo Inc. HTML5-WEST.jpද / html5j ϚʔΫΞοϓ෦ ෦
/ HTML5 Experts.jp ϝϯόʔ NPO๏ਓຊΣΞϥϒϧσόΠεϢʔβʔձཧࣄ ਆށࢢΣΞϥϒϧσόΠεਪਐձٞϝϯόʔ JS Boardษڧձ ओ࠻ ΉΒ͓͔ɹ·͔ͣ͞ ଜԬਖ਼ גࣜձࣾਆށσδλϧɾϥϘ औక @bathtimefish 8FC *P5ؔ࿈ٕज़ʹ͍ͭͯͷߨԋࣥචΛ ΘΓͱͨ͘͞Μͬͯ·͢ɻ
#VJMEͰػցֶशؔ࿈ͷൃද͕͍͔ͭ͋ͬͨ͘ IUUQTXXXJUNFEJBDPKQFOUFSQSJTFBSUJDMFTOFXTIUNM IUUQTKBQBO[EOFUDPNBSUJDMF ग़ॴ;%/FU+BQBO ग़ॴ*5.FEJB
ͦͷதͰؾʹͳ͍͔ͬͨͭ͘ "[VSF1FSTPOBMJ[FS 1SFWJFX IUUQTB[VSFNJDSPTPGUDPNKBKQTFSWJDFTDPHOJUJWFTFSWJDFTQFSTPOBMJ[FS .-OFU"VUP.- 1SFWJFX IUUQTHJUIVCDPNEPUOFUNBDIJOFMFBSOJOHTBNQMFTCMPCNBTUFS 3&"%.&NEBVUPNBUFNMOFUNPEFMTHFOFSBUJPOQSFWJFXTUBUF "OPNBMZ%FUFDUPS 1SFWJFX
IUUQTB[VSFNJDSPTPGUDPNKBKQTFSWJDFTDPHOJUJWFTFSWJDFTQFSTPOBMJ[FS $SFBUFBOEFYQMPSFBVUPNBUFENBDIJOFMFBSOJOH FYQFSJNFOUTJOUIF"[VSFQPSUBM 1SFWJFX IUUQTEPDTNJDSPTPGUDPNFOVTB[VSFNBDIJOFMFBSOJOHTFSWJDFIPXUPDSFBUFQPSUBMFYQFSJNFOUT ✔ ✔ ͭ͞Βͬͱಈ͔ͯ͠ΈΑ͏ͱࢥ͍·͢
ಈ࡞ڥ NBD04W 7JTVBM4UVEJPGPS.BD$PNNVOJUZ CVJME /&5$PSF
"[VSF1FSTPOBMJ[FS 1SFWJFX IUUQTB[VSFNJDSPTPGUDPNKBKQTFSWJDFTDPHOJUJWFTFSWJDFTQFSTPOBMJ[FS
IUUQTEPDTNJDSPTPGUDPNFOVTB[VSFDPHOJUJWFTFSWJDFTQFSTPOBMJ[FSDTIBSQRVJDLTUBSUDPNNBOEMJOFGFFECBDLMPPQ
1PSUBMͰ1FSTPOBMJ[FSΛ σϓϩΠ͢Δ
%PDLFSDPOUBJOFS͕͋Δ͡ΌΜ͜ΕָͪΜʂ
ӕΛ͔ͭΕ·ͨ͠ IUUQTIVCEPDLFSDPN@NJDSPTPGUB[VSFDPHOJUJWFTFSWJDFTQFSTPOBMJ[FS
ΤϯυϙΠϯτͱΩʔΛϝϞ͓ͬͯ͘
Ϟσϧͷߋ৽සΛසൟʹ͓ͯ͘͠
7JTVBM4UVEJPͰ/&5ίϯιʔϧΞϓϦΛ࡞͢Δ
cd ./PersonalizerExample/PersonalizerExample dotnet add package Microsoft.Azure.CognitiveServices.Personalizer --version 0.8.0-preview 1FSTPOBMJ[FS&YBNQMFDTQSPK͕͋ΔσΟϨΫτϦʹҠಈͯ͠ 1FSTPOBMJ[FS"1*ύοέʔδΛՃ͢Δ
IUUQTEPDTNJDSPTPGUDPNFOVTB[VSFDPHOJUJWFTFSWJDFTQFSTPOBMJ[FS DTIBSQRVJDLTUBSUDPNNBOEMJOFGFFECBDLMPPQBEEDPEFUPSBOLUIFBDUJPOT ZPVXBOUUPTIPXUPZPVSVTFST ͷ1SPHSBNDTΛίϐϖͯ͠ ΤϯυϙΠϯτͱΩʔΛઃఆ͢Δ
Ϗϧυ͢ΔͱΞϓϦ͕ىಈ͢Δ
ྉཧΛ͓͢͢Ίͯ͘͠ΔͷͰɺ:FT/PͰΈΛճ͍ͯ͘͠
͠Β͘͢ΔͱQSPCBCJMJUZͷείΞ͕มಈͨ͠ ͳΜֶ͔शͯ͠ΔͬΆ͍
Ϟσϧͷ࠷ऴߋ৽͕ఆظతʹߋ৽͞Ε͍ͯΔ
ΞΫγϣϯʹԠͨ͡ϦϫʔυϥϯΩϯάΛऔಘͯ͠ ճʹԠͨ͡ϦϫʔυΛઃఆͯ͠ϦΫΤετ͢Δ
IUUQTHJUIVCDPNEPUOFUNBDIJOFMFBSOJOHTBNQMFTCMPCNBTUFS3&"%.&NEBVUPNBUFNMOFUNPEFMTHFOFSBUJPOQSFWJFXTUBUF .-/&5Ͱ"VUP.-"1*͕αϙʔτ͞Εͨ
IUUQTFOXJLJQFEJBPSHXJLJ"VUPNBUFE@NBDIJOF@MFBSOJOH
IUUQTHJUIVCDPNEPUOFUNBDIJOFMFBSOJOHTBNQMFTUSFFNBTUFSTBNQMFTDTIBSQHFUUJOHTUBSUFE3FHSFTTJPO@"VUP.- λΫγʔͷྉۚ༧ଌͷΛͬͯΈΔ
git clone https://github.com/dotnet/machinelearning-samples.git cd ./machinelearning-samples/samples/csharp/getting-started/Regression_AutoML $MPOFͯ͠αϯϓϧ·ͰҠಈ͢Δ
brew install plplot 1-1MPUΛ͏ͷͰΠϯετʔϧ͢Δ
- string chartFileNamePath = @".\" + chartFileName; + string chartFileNamePath
= chartFileName; ߦΛҎԼͷΑ͏ʹमਖ਼͢Δ मਖ਼͠ͳ͍ͱධՁάϥϑ͕/PUGPVOEʹͳͬͯ։͔ͳ͍ ͳΜͰΘ͟Θ͟ϑΝΠϧ໊ͷઌ಄ʹaΛ͚͍ͭͯΔͷ͔Θ͔Βͳ͍ 8JOEPXTͩͱ=͔ʁ
Ϗϧυ࣮ͯ͠ߦ͢Δ
͍Ζ͍ΖͳճؼੳΛࢼͯ͠ϕετͳϞσϧΛબ͍ͯ͠Δ
ͦΕͳΓͷਫ਼͕Ͱͨ
ΩϞ͜ͷߦ -BCFM$PMVNO/BNFʹλʔήοτΧϥϜͷϥϕϧ໊ 'BSF"NPVOU Λࢦఆͯ͠ $SFBUF3FHSFTTJPO&YQFSJNFOUͰճؼੳͷ࣮ݧثΛ࡞͠ ࢦఆ࣌ؒ ඵ ؒ͞·͟·ͳճؼੳΛࢼߦͯ͠#FTU.PEFMΛબͼग़͢ #JOBSZ$MBTTJpDBUJPOɺ.VMUJDMBTT$MBTTJpDBUJPOಉ༷ͷίʔυελΠϧ
·ͱΊ "VUP.-͕खܰʹ͑ΔΑ͏ʹͳͬͨ͜ͱͰɺϩʔΧϧͰֶशਪ͢Δ͜ͱ ͕༰қʹͳͬͨɻϩʔΧϧʹஷΊͨσʔλΛࣗಈతʹֶशͯ͠ਫ਼͕ ্͕Δ"*తػೳΛΞϓϦʹ࣋ͨͤΔ͜ͱ͕؆୯ʹͳΔ͔͠Εͳ͍ Ұ෦ΤϥʔΛు͘αϯϓϧίʔυ͚͋ͬͨͲͦͷ͏ͪΔʹ͕͍ͪͳ͍ $͕͍͍ײ͡ʹΫϩεϓϥοτϑΥʔϜݴޠʹͳ͖͔ͬͯͨΒ.-OFUͷ৳ͼ͠Ζʹظ Ϋϥυͷ"VUP.-($1ͳΜ͔͕ڧ͍͚Ͳׂͱߴ͍ɻͬͪࣗ͜Ͱॻ͚λμɻ "VUP.-ͳ'SBNFXPSLʹ"VUP,FSBT IUUQTBVUPLFSBTDPN ͕͋Δ͚Ͳ
ϗϫΠτΧϥʔࣾசʹ/&5ͷ΄͏͕͍͍Μ͡ΌͶʁ (16TVQQPSUΑ IUUQTEFWCMPHTNJDSPTPGUDPNEPUOFU BOOPVODJOHNMOFUNBDIJOFMFBSOJOHGPSOFU
Thanks !