Maximize Your MLops Success with Advanced Feature Engineering

Today, we're diving deep into the fascinating world of feature engineering.
Suggested reading:
1. "Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists" by Alice Zheng and Amanda Casari
2. "Machine Learning Engineering" by Andriy Burkov
3. "Introducing MLOps: How to Scale Machine Learning in the Enterprise" by Mark Treveil and Nicolas Omont
4. "Practical MLOps: Operationalizing Machine Learning Models" by Noah Gift and Alfredo Deza
5. "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Max Kuhn and Kjell Johnson