This course provides insights into working at Machine Learning startups and the daily challenges faced by ML founders. The learning outcomes include understanding how to stack recommendation models effectively and creating fast 3D Reinforcement Learning simulators. The course teaches skills in ML startup operations and pitching. The teaching method includes lightning tech talks, Q&A sessions, and company pitches. The intended audience is individuals interested in Machine Learning startups, founders, and tech enthusiasts.
Overview
Syllabus
- Tech Talk by Andrew Yates, Promoted.ai YC W21: “How to stack recommendation models to always win”
- Q&A with Andrew Promoted.ai
- Tech Talk by Josh Albrecht, Generally Intelligent YC S17: “How and why we created one of the fastest 3D Reinforcement Learning simulators in the world”
- Q&A with Josh Generally Intelligent
- Company pitch by Jay Chia, Eventual YC W22
- Company pitch by Stan Fich, HyperGlue YC W21
- Company pitch by Ben Colman, Reality Defender YC W22
Taught by
Y Combinator: The Vault
