#497: Outlier Detection with Python

Brett Kennedy, a seasoned software developer with 30 years of expertise in data science, shares his insights on outlier detection. He explains how outliers can uncover fraud or hidden patterns in data, emphasizing their critical role in various fields, including finance and biology. The discussion covers Python's unique methods for outlier detection, the logistical challenges of massive datasets, and the importance of ongoing model retraining. Brett also explores advanced techniques and tools, stressing the balance between dataset size and computational resources.