Post #2765497

Alright, here are the slides: https://cazencott.info/dotclear/public/publications/2026-05-21_azencott.pdf And a thread to outline the main ideas. The talk starts by briefly reminding what machine learning is: techniques that allow us to build models (which are functions, from a mathematical or computational points of view, that is to say, tools that apply a sequence of instructions to entries to produce an output) from data. In essence, you start from a template of what that sequence of instructions should look like; this template has a lot of parameters, that is to say, numerical parameters that you need to set. Learning means adjusting these parameters to fit the data. #machineLearning #genomics 1/6 https://lipn.info/@cazencott/116611306649842377