Download to read offline
More Related Content
Similar to XOP's ( DataOp's, MLOP's) Sig Poc
More from madhucharis
![제 23회 보아즈(BOAZ) 빅데이터 컨퍼런스 - [MBOAX] : ABSA를 활용한 소비자 반응 분석 기반 운영 효율화 대시보드 설계](https://cdn.slidesharecdn.com/ss_thumbnails/3-1boaz23rdconferencemboax-260203102709-9d519923-thumbnail.jpg?width=640&height=640&fit=bounds)
![Hacking-Uncovered-How-People-Get-Hacked-and-How-to-Stay-Safe[1].pptx](https://cdn.slidesharecdn.com/ss_thumbnails/hacking-uncovered-how-people-get-hacked-and-how-to-stay-safe1-260130170011-4883a9c7-thumbnail.jpg?width=640&height=640&fit=bounds)
![7.__Developing_a_Research_Proposal[1].pptx](https://cdn.slidesharecdn.com/ss_thumbnails/7-260131073037-df92dd7d-thumbnail.jpg?width=640&height=640&fit=bounds)
XOP's ( DataOp's, MLOP's) Sig Poc
- 1. #Single Slide -Elevator Pitch, Reproducible Insights, Reference
- 2. Can Manual FeatureEngineering can extract better Signals? ( against Auto-ML Feature Engineering) • Research • Identify Explore • Evidence driven • Github Insights • XOP’s Opportunity Pitch
- 3. What Collapsing acategorical value has on a Model? • Research • Identify Explore • Evidence driven • Github Insights • XOP’s Opportunity Pitch
- 4.
- 5. Can left out sample affect “learnt signal”? Explore •Research • Identify Insights • Evidence driven • Github Pitch • XOP’s Opportunity
- 6. Does Imputation Skewthe Learning ? Explore • Research • Identify Insights • Evidence driven • Github Pitch • XOP’s Opportunity
- 7. Is my modelthe right choice ? Explore Research Identify Insights Evidence driven Github Pitch XOP’s Opportunity
- 8. Can my Validationcapture generalization skew ? Explore Research Identify Insights Evidence driven Github Pitch XOP’s Opportunity
- 9. Can I trustmy centre? Explore Research Identify Insights Evidence driven Github Pitch XOP’s Opportunity
- 10. Does new datahave any new signature? • Research • Identify Explore • Evidence driven • Github Insights • XOP’s Opportunity Pitch
- 11. Did my modellearnt any new signature? Explore Research Identify Insights Evidence driven Github Pitch XOP’s Opportuni ty
- 12. Does my optimalModel helps in Scaling? Explore Research Identify Insights Evidence driven Github Pitch XOP’s Opportunity
- 13.
- 14. For people wholike to know .. References Executive Summary https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/an-executives-guide-to-ai https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/global-survey-the-state-of-ai-in-2020 History https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/#d81ef9555cfc https://www.forbes.com/sites/bernardmarr/2016/02/19/a-short-history-of-machine-learning-every-manager-should-read/#e1bcd315e780 https://www.forbes.com/sites/bernardmarr/2016/03/22/a-short-history-of-deep-learning-everyone-should-read/#7567ed4f5561 https://www.forbes.com/sites/gilpress/2016/12/30/a-very-short-history-of-artificial-intelligence-ai/#3fe830496fba HPE Trainings Beginner Hands-On Deeper Intuition https://www.youtube.com/c/LuisSerrano/playlists https://end-to-end-machine-learning.teachable.com/ https://www.youtube.com/user/joshstarmer Analyst Reports Interesting Blogs https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html Recommended Courses Stanford CNN, NLP, Pedigo Dominos ML, Sandford Statistical ML Certification Amazon ML Speciality, Azure DS, G-Cloud ML Books