Brett Kennedy

About The Author

Brett Kennedy is a data scientist with over thirty years’ experience in software development and data science. He has worked in outlier detection related to financial auditing, fraud detection, and social media analysis. He previously led a research team focusing on outlier detection.

Books by Brett Kennedy

Building LLM Applications with DSPy

Replacing manual prompts with systematic optimization

Get the eBook free when you register your print book at Manning.

Static, over-engineered prompts quickly lose effectiveness as models and data change. DSPy replaces inflexible text-based prompts with dynamic contract-based Python code, so your prompts can freely adapt and scale. In ...
Outlier Detection in Python
Learn how to identify the unusual, interesting, extreme, or inaccurate parts of your data.

Data scientists have two main tasks: finding patterns in data and finding the exceptions. These outliers are often the most informative parts of data, revealing hidden insights, novel patterns...
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