Once available only to scientists, today machine learning (ML) is open to a much broader audience of software professionals including business analysts. In fact, the practice of ML is so advanced that some algorithm results look like "black magic,” even to experienced practitioners.
Inspired by attribute-driven design (ADD) and Smart Decisions (a card game created with CMU SEI), our speakers are excited to share a new version of the game focused on designing ML systems. In this interactive session, you will learn about machine learning fundamentals and key ML requirements via series of gamified interactive exercises. We will simulate how to build state-of-the-art ML systems by analyzing both business and technical requirements, selecting the best matching algorithms, and teaching how to validate early design decisions using rapid prototyping techniques.Meet our speakers:
Meetup will be held in English.