Lead Data Scientist, PAXAFE
Shivika is a Data Scientist with 3 years of experience in building ML models for business applications and has a track record of solving complex problems. She has worked with various Fortune 10 companies in the computer & IoT space and graduated from the University of Michigan, Ann Arbor in Dec 2020 with an MS in Data Science degree. Her expertise is in Online/incremental ML, NLP, search- recommendation, ML(Classification, Regression), Deep Learning (Neural Networks), Statistical techniques (Time series modeling), Social network analysis & Data Visualization.
Watch live: March 2 | 1:30PM ET
Testing ML models for production
Machine learning models are an integral part of our lives and are now becoming indispensable for decision-making process in many businesses. When ML algorithms make a mistake, it can not only adversely affect the user trust but can also cause loss of businesses and in some sectors – loss of life (health). How do you know that the model you’ve been developing is reliable enough to be deployed in the real world? In this talk, we are going to have a closer look at the Testing ML model for production. Main components of the talk will be :- a) Unit testing b) API Integration testing c) Simulation testing for ML model.