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Explore the untapped possibilities of Predictive Maintenance! Join data scientists, engineers, and manufacturing professionals on an engaging journey through predictive maintenance use cases, shedding light on this often underexplored realm of Machine Learning.
Hear from Hari Narayanan, a key member of dotData’s Data Science team, as he delves into the power of predictive analytics, machine learning, and feature engineering in the manufacturing landscape.
Uncover the challenges of predictive maintenance use cases, challenging conventional approaches, and discover the potential of alternative methodologies like feature engineering.
Key Takeaways:
- Build accurate target variables
- Creating aggregated features
- Developing interaction-based features to model complex relationships
