mlvajra

"A weapon to save Data Scientist from frustration "

mlvajra's goal is to have a Best practices to Deploy Machine learning in all environments in one place

mlvajra

• Week supervision to generate a labeled dataset from unlabled dataset (using domain knowledge)

• Active learning strategies

• week supervision (Snorkel)

Easy deployment

• Edge Deployment (in Big data Environement)
• Deploy in Docker containers as Mircoservices

Monitoring - Have a strategy to monitor the performance the model in production environment

Experiment Traccking

• Have Experiment tracker with your production data and design your pipeline in such a way to replace the old model with the best model tracked with your Experiment results

Reference:

https://papers.nips.cc/paper/5656-hidden-technical-debt-in-machine-learning-systems