Upgrade to Pro — share decks privately, control downloads, hide ads and more …

How to Handle the Training Model Hangover - Dev...

Pratik Parmar
December 07, 2019
Programming
0
68

How to Handle the Training Model Hangover - Dev & DevOps Conf (Tuscany)

Pratik Parmar

December 07, 2019
Tweet

More Decks by Pratik Parmar

See All by Pratik Parmar
Building AI Apps with Cloudflare: Zero to One 🚀
pratikparmar
0
8
Building AI Apps: From Concept to Production
pratikparmar
0
16
Build AI Apps with OpenSource LLM
pratikparmar
1
73
Eradicating ML Anxiety with Flutter
pratikparmar
0
31
Machine Learning for Muggles @Mozilla Punjab
pratikparmar
0
220
How to Handle the Training Model Hangover
pratikparmar
0
30
Hackathon Hacker's Guide to Machine Learning
pratikparmar
0
34
Machine Learning Express
pratikparmar
1
33
Machine Learning for Humans
pratikparmar
1
130

Other Decks in Programming

See All in Programming
昭和の職場からアジャイルの世界へ
kumagoro95
1
410
Jakarta EE meets AI
ivargrimstad
0
130
Rails アプリ地図考 Flush Cut
makicamel
1
130
Generating OpenAPI schema from serializers throughout the Rails stack - Kyobashi.rb #5
envek
1
330
5分で理解する SOLID 原則 #phpcon_nagoya
shogogg
1
280
AIの力でお手軽Chrome拡張機能作り
taiseiue
0
190
XStateを用いた堅牢なReact Components設計~複雑なClient Stateをシンプルに~ @React Tokyo ミートアップ #2
kfurusho
1
950
苦しいTiDBへの移行を乗り越えて快適な運用を目指す
leveragestech
0
900
『品質』という言葉が嫌いな理由
korimu
0
180
データの整合性を保つ非同期処理アーキテクチャパターン / Async Architecture Patterns
mokuo
53
18k
コミュニティ駆動 AWS CDK ライブラリ「Open Constructs Library」 / community-cdk-library
gotok365
2
200
Django NinjaによるAPI開発の効率化とリプレースの実践
kashewnuts
1
200

Featured

See All Featured
Navigating Team Friction
lara
183
15k
Making the Leap to Tech Lead
cromwellryan
133
9.1k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
100
18k
Six Lessons from altMBA
skipperchong
27
3.6k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
226
22k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
356
29k
Fireside Chat
paigeccino
34
3.2k
Build your cross-platform service in a week with App Engine
jlugia
229
18k
Building Applications with DynamoDB
mza
93
6.2k
Rebuilding a faster, lazier Slack
samanthasiow
80
8.8k
The Pragmatic Product Professional
lauravandoore
32
6.4k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
175
52k

Transcript

  1. PRESENTATION BY PRATIK PARMAR How to handle the hangover?

  2. None

  3. PRESENTATION BY PRATIK PARMAR How to handle the “Training Model”

    hangover?

  4. I Am Pratik Parmar I am here to bore you

    with Machine Learning! Hello! You can contact me at @hackyroot

  5. AI DEVOPS CLOUD NATIVE KUBERNETES BLOCKCHAIN VR DIGITAL TRANSFORMATION -

    YOUR CLIENT “ * Your client is the CEO

  6. AI

  7. AI MACHINE LEARNING

  8. None

  9. Product Dev IT Ops InfoSec QA Data Scientist ML Engineer

  10. None
  11. None
  12. None
  13. None

  14. MODEL IN PRODUCTION: • • • •

  15. None

  16. CUSTOM ML PLATFORMS

  17. None
  18. None

  19. KEY CONCEPT IN TRACKING

  20. MLFLOW TRACKING: EXPERIMENTS

  21. TRACKING UI: INSPECTING RUNS

  22. MLFLOW PROJECTS: REPRODUCIBLE RUNS

  23. MLFLOW PROJECTS: EXAMPLE MLFLOW PROJECT

  24. MLFLOW MODELS: MODEL PACKAGING

  25. None

  26. I’M LOOKING FOR NEW OPPORTUNITIES AS A DATA SCIENTIST! TALENT

    ALERT!
  27. None
  28. None

  29. You can find me at: @hackyroot [email protected] Any more questions?

    Thank You!