Netflix spent $1 million for a machine learning and data mining competition called Netflix Prize to improve movie recommendations by crowdsourced solutions, but couldn’t use the winning solution for their production system in the end.
This white paper takes a closer look at the real-life issues Netflix faced and highlights key considerations when developing production machine learning systems. Learn practical lessons from the Netflix case study from technology and business perspectives, rather than the theoretical perspective common in typical machine learning literature.
Download the white paper to learn more about these key tradeoffs:
- Prediction accuracy vs. scalability
- Complexity vs. agility
- Prototyping vs. deployment