This page serves as a compendium for all blog posts dedicated to the book Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python (Apress, forthcoming).

Interesting Resources for Chapter 8

For each chapter in Finding Ghosts in Your Data, I’ll include a few resources that I found interesting. This isn’t a bibliography, strictly speaking, as I might not use all of these in the course of writing, but they were at least worth noting. Streamlit Chapter 8 was all about visualization and ended up being an…

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Interesting Resources for Chapter 7

For each chapter in Finding Ghosts in Your Data, I’ll include a few resources that I found interesting. This isn’t a bibliography, strictly speaking, as I might not use all of these in the course of writing, but they were at least worth noting. Approaching Normality Chapter 6 looked at an initial slate of tests. In…

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Interesting Resources for Chapter 6

For each chapter in Finding Ghosts in Your Data, I’ll include a few resources that I found interesting. This isn’t a bibliography, strictly speaking, as I might not use all of these in the course of writing, but they were at least worth noting. Getting MAD Chapter 6 is where we start diving into techniques. We…

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Writing Testable Code: the Functional Approach

In yesterday’s post, I covered the resources I used for chapter 5 and teased an approach to writing testable code. Today, I want to give you a sneak peek at Finding Ghosts in Your Data and show you an excerpt from chapter 5 of the book. Note that this is text from the first draft,…

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