Episode #208: Detecting Outliers in Your Data With Python - The Real Python Podcast
Briefly

Brett discusses various applications and techniques in security, manufacturing, quality assurance, and fraud.
Differences between supervised and unsupervised learning, applications in autonomous vehicles, and explainable AI are explored.
Python libraries like scikit-learn are used for outlier detection with examples of detecting LLM, bot activity, and creating synthetic data.
Read at Realpython
[
]
[
|
]