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).
Finding Ghosts in Your Data: Official Release
Release day has arrived: Finding Ghosts in Your Data is now officially available in softcover and as an e-book. You can get it wherever fine books are sold, assuming they also sell less-fine books as well. I had intended to blog more about the book but ended up getting really busy and writing the thing…
Keep readingInteresting 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…
Keep readingInteresting 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…
Keep readingInteresting 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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36 Chambers - The Legendary Journeys: Execution to the max! 