How to Guarantee No One Understands Your ML Project - Jesper Dramsch | PyData Global 2021

How to Guarantee No One Understands What You Did in Your Machine Learning Project Speaker: Jesper Dramsch Summary I recently got a machine learning job in a place of hundreds of non-machine learning experts. I got that job specifically for my skills of communication around machine learning projects. This talk will discuss the risks of projects but specifically how we can communicate results to any stakeholder and use Python along the way. Description Data science and machine learning can be a lot of fun. Freshly out of university, a bootcamp, or through the grinder of a Kaggle competition, we learned all the neat technical tricks. Suddenly that’s only a basic requirement to get a job or even make anyone interested in your machine learning project. Let’s dissect that. Working on a model for a few days, researching the architecture, perfecting all the tweaks and fixing all the leakage can make us forget that we’re the only one that deep into the material. I sure do. But technobabble will not get us anywhere.