Successful machine learning models: lessons learned at Booking.com
Published:Oct 7, 2019 16:01
•1 min read
•Hacker News
Analysis
This article likely discusses practical aspects of deploying and maintaining machine learning models in a real-world, large-scale environment. It probably covers topics like data preparation, model selection, deployment strategies, monitoring, and the challenges faced in production. The focus is on lessons learned, suggesting a focus on practical advice rather than theoretical advancements.
Key Takeaways
- •Focus on practical aspects of machine learning deployment.
- •Likely covers data preparation, model selection, and monitoring.
- •Provides insights into challenges faced in a production environment.
- •Offers lessons learned from Booking.com's experience.
Reference
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