W Brett Kennedy – Medium

W Brett Kennedy

Featured Book

Outlier Detection in Python

Outlier Detection in Python

Outlier detection in python. Covers algorithms, explainability, ensembles, testing, managing ongoing projects.

2024

Stories

Published in
Towards Data Science

Using Optimization to Solve Adversarial Problems

An example of simultaneously optimizing two policies for two adversarial agents, looking specifically at the cat and mouse game.

2d ago

Using Optimization to Solve Adversarial Problems

2d ago

Published in
Towards Data Science

An Overview of Feature Selection

With a presentation of a rarely used, highly effective method for establishing the predictive power of a given set of features

Jan 7

An Overview of Feature Selection

Jan 7

Published in
Towards Data Science

Deep Learning for Outlier Detection on Tabular and Image Data

The challenges and promises of deep learning for outlier detection, including self-supervised learning techniques

Jan 3

Deep Learning for Outlier Detection on Tabular and Image Data

Jan 3

Published in
Towards Data Science

Perform Outlier Detection More Effectively Using Subsets of Features

Identify relevant subspaces: subsets of features that allow you to most effectively perform outlier detection on tabular data

Nov 24, 2024

Perform Outlier Detection More Effectively Using Subsets of Features

Nov 24, 2024

Published in
Towards Data Science

Solving the classic Betting on the World Series problem using hill climbing

A simple example of hill climbing — and solving a problem that’s difficult to solve without optimization techniques

Nov 10, 2024

Solving the classic Betting on the World Series problem using hill climbing

Nov 10, 2024

Published in
Towards Data Science

A Simple Example Using PCA for Outlier Detection

Improve accuracy, speed, and memory usage by performing PCA transformation before outlier detection

Nov 2, 2024

A Simple Example Using PCA for Outlier Detection

Nov 2, 2024

Published in
Towards Data Science

An Introduction to Using PCA for Outlier Detection

A surprisingly effective means to identify outliers in numeric data

Oct 22, 2024

An Introduction to Using PCA for Outlier Detection

Oct 22, 2024

Published in
Towards Data Science

FormulaFeatures: A Tool to Generate Highly Predictive Features for Interpretable Models

Create more interpretable models by using concise, highly predictive features, automatically engineered based on arithmetic combinations of…

Oct 6, 2024

FormulaFeatures: A Tool to Generate Highly Predictive Features for Interpretable Models

Oct 6, 2024

Published in
Towards Data Science

Shared Nearest Neighbors: A More Robust Distance Metric

A distance metric that can improve prediction, clustering, and outlier detection in datasets with many dimensions and with varying…

Sep 19, 2024

Shared Nearest Neighbors: A More Robust Distance Metric

Sep 19, 2024

Published in
Towards Data Science

Achieve Better Classification Results with ClassificationThresholdTuner

A python tool to tune and visualize the threshold choices for binary and multi-class classification problems

Sep 7, 2024

Achieve Better Classification Results with ClassificationThresholdTuner

Sep 7, 2024

W Brett Kennedy

W Brett Kennedy

Book Author

Author of Outlier Detection in Python. www.linkedin.com/in/wbkenn/, github.com/Brett-Kennedy, www.manning.com/books/outlier-detection-in-python

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