How Weak Learners Power Machine Learning – Insights from Marketing Data Scientist Mike Foley

In this clip, Mike Foley explains how machine learning models use weak learners to iteratively improve predictions, even with missing or redundant data. Learn why data preparation matters, how big data enables pattern discovery, and the importance of generalization for future performance. Discover practical examples of training loops, error reduction, and how modern compute makes historically theoretical concepts usable in industry today. Subscribe for more content like this: ‪@MaturityCode‬ #machinelearning #datascience