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

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

Avatar for Pratik Parmar Pratik Parmar
December 07, 2019
Programming
0
73

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

Avatar for Pratik Parmar

Pratik Parmar

December 07, 2019
Tweet

More Decks by Pratik Parmar

See All by Pratik Parmar
Unleashing MCP: Exploring the Power of Model Context Protocol
Avatar for Pratik Parmar pratikparmar
0
63
Building AI Apps with Cloudflare: Zero to One 🚀
Avatar for Pratik Parmar pratikparmar
0
19
Building AI Apps: From Concept to Production
Avatar for Pratik Parmar pratikparmar
0
24
Build AI Apps with OpenSource LLM
Avatar for Pratik Parmar pratikparmar
1
120
Eradicating ML Anxiety with Flutter
Avatar for Pratik Parmar pratikparmar
0
38
Machine Learning for Muggles @Mozilla Punjab
Avatar for Pratik Parmar pratikparmar
0
270
How to Handle the Training Model Hangover
Avatar for Pratik Parmar pratikparmar
0
34
Hackathon Hacker's Guide to Machine Learning
Avatar for Pratik Parmar pratikparmar
0
45
Machine Learning Express
Avatar for Pratik Parmar pratikparmar
1
43

Other Decks in Programming

See All in Programming
ネイティブ製ガントチャートUIを作って学ぶUICollectionViewLayoutの威力
Avatar for Yusaku Nishi jrsaruo
0
140
LLMとPlaywright/reg-suitを活用した jQueryリファクタリングの実際
Avatar for kinocoboy kinocoboy2
4
680
なぜあの開発者はDevRelに伴走し続けるのか / Why Does That Developer Keep Running Alongside DevRel?
Avatar for nrs nrslib
3
380
Back to the Future: Let me tell you about the ACP protocol
Avatar for Benedikt Terhechte terhechte
0
130
Go Conference 2025: Goで体感するMultipath TCP ― Go 1.24 時代の MPTCP Listener を理解する
Avatar for Takeru Hayasaka takehaya
7
1.6k
Web Components で実現する Hotwire とフロントエンドフレームワークの橋渡し / Bridging with Web Components
Avatar for Daichi KUDO da1chi
3
1.9k
iOSアプリの信頼性を向上させる取り組み/ios-app-improve-reliability
Avatar for yuki shinohara shino8rayu9
0
160
Catch Up: Go Style Guide Update
Avatar for ANDPAD inc andpad
0
200
いま中途半端なSwift 6対応をするより、Default ActorやApproachable Concurrencyを有効にしてからでいいんじゃない？
Avatar for yimajo yimajo
2
360
CSC305 Lecture 01
Avatar for Javier Gonzalez-Sanchez javiergs
PRO
1
400
そのpreloadは必要？見過ごされたpreloadが技術的負債として爆発した日
Avatar for mugi mugitti9
2
3.1k
10年もののAPIサーバーにおけるCI/CDの改善の奮闘
Avatar for masato hommaru mbook
0
790

Featured

See All Featured
Building Applications with DynamoDB
Avatar for Matt Wood mza
96
6.6k
A Tale of Four Properties
Avatar for Chris Coyier chriscoyier
160
23k
What’s in a name? Adding method to the madness
Avatar for Product Marketing Alliance productmarketing
PRO
23
3.7k
Designing Experiences People Love
Avatar for Jonathan Moore moore
142
24k
Distributed Sagas: A Protocol for Coordinating Microservices
Avatar for Caitie McCaffrey caitiem20
333
22k
Documentation Writing (for coders)
Avatar for Carmen Chung carmenintech
75
5k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
Avatar for Rebecca Miller-Webster rmw
35
3.2k
[RailsConf 2023 Opening Keynote] The Magic of Rails
Avatar for Eileen M. Uchitelle eileencodes
31
9.7k
GraphQLの誤解/rethinking-graphql
Avatar for sonatard sonatard
73
11k
Learning to Love Humans: Emotional Interface Design
Avatar for Aarron Walter aarron
274
40k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
Avatar for Irina Nazarova irinanazarova
9
960
XXLCSS - How to scale CSS and keep your sanity
Avatar for Zaharenia Atzitzikaki sugarenia
248
1.3M

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!