First Principles Thinking in real world Machine Learning by Pedro Azevedo

Successful machine learning projects start long before the first line of code. In this talk, Pedro Azevedo applies First Principles Thinking to real-world ML engineering, drawing parallels between energy systems and ML project management. This session explores the human and managerial aspects of ML, focusing on defining success, managing stakeholder expectations, and designing effective architectures. Learn how to implement experimentation and prototyping strategies that lead to the best solutions while maximizing the value of engineering efforts. :::::: If you love watching content like this, consider joining us in person at the next event: www.datamakersfest.com 👉 FOLLOW US Instagram: https://www.instagram.com/datamakersfest/ LinkedIn: https://www.linkedin.com/showcase/data-makers-fest/ Our channel features talks for anyone building products and services with and around data. Subscribe to our channel for videos on Data Science, Machine Learning, AI, Data Engineering, and more. Data Makers Fest videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non-Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International). To use the talk for other purposes, please contact us at [email protected]. #datamakersfest #datascience #ai #machinelearning #dataengineering