Over 13 years of experience as a software engineer and algorithm developer in various domains, including NLP, recommender systems, vision, and cybersecurity.
I am passionate about good quality code, interesting ideas and sophisticated algorithms. I love encountering elegant equations while trying to solve real-life problems.
Imagine you’re conducting a salary survey with the goal of training a model to predict the salary. Cool, right? Not if you don’t handle user privacy… How can we make sure the collected data can’t be used to identify the users, while still being able to properly train our model?
In this session, we’ll eat the cake and leave it whole: We’ll use a less known model called Deming regression to handle our anonymized data, and it’ll have a quality similar to a model trained on the private data! And all will be live coded, starting with an empty Jupyter notebook. Join the fun ;)