~/talks

Rashmi Nagpal

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titleconferencedate
Unleashing the Black Box: Testing Machine Learning SystemsAgile Testing Days 20242024-11-19
Claims that 87% of ML projects never reach production and that TDD can enforce FATE drive a checklist of concrete techniques: use SMOTE balancing to equalize…
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The Gopher Orchestra: Distributed Machine Learning with GoGopherConAU 20242024-11-06
Shows a working Go pipeline that shards data and trains models across nodes using goroutines and channels and demonstrates both Iris (150 rows) and wine…
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From Data to Recommendations: Building an Intelligent System with RORrubyday 20242024-05-31
Claims a reproducible pipeline that turns user data into recommendations using Ruby on Rails, shows a working proof: linear regression house-price demo trained…
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Panel - Navigating a career: tech, people, and LLMsrubyday 20242024-05-31
Market dynamics shift: freelance demand spikes in 2020 then collapses around end of 2022 with layoffs ongoing, and marketplaces report profits tied to macro…
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Beyond Bias: Crafting Fairness in Pythonic Machine Learning SystemsPyCon Italia 20242024-05-22
Only 13% of ML models make it to production and here the workflow shows concrete fixes: open German credit data, apply SMOTE for class balance, train an…
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AI in FrontendReact Day Berlin 20232023-12-08
This talk discusses the challenges of scaling and maintaining applications and how architecture decisions can impact them. It introduces the concept of…
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Build Intelligence at the Edge - Machine Learning with React NativeReact Day Berlin 20232023-12-08
Have you ever wondered if we can really build machine learning models in React, rather than in the mainstream languages like Python or R? Afterall, React is…
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Build your Machine Learning Model on Edge with React NativeReact Miami 20232023-04-20
Shows a live React Native demo loading ONNX.js with YOLOv5 to draw bounding boxes for image recognition and builds a TensorFlow.js sentiment classifier end to…
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