Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python
By Kevin Feasel
eBook
$59.99
By Kevin Feasel
Collect stamps to save with Rewards. 10 stamps = $5. Learn More
Select a store to view item availability.
Available on compatible , the free NOOK App, and in My Digital Library
NOOK App
Download NOOK app
NOOK Devices
NOOK eReaders
- NOOK GlowLight 4 Plus
- NOOK GlowLight 4e
- NOOK GlowLight 4
- NOOK GlowLight Plus 7.8"
- NOOK GlowLight 3
- NOOK GlowLight Plus 6"
NOOK Tablets
- NOOK 9" Lenovo Tablet
- NOOK 10" HD Lenovo Tablet
- NOOK Tablet 7" & 10.1"
- NOOK by Samsung Galaxy Tab 7.0 [Tab A and Tab 4]
- NOOK by Samsung [Tab 4 10.1, S2 & E]
Free NOOK Reading Apps
- NOOK for iOS
- NOOK for Android
BN.com website
Go to your Digital Library in My Account
Limit 1 per customer
Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming language to build a robust service for anomaly detection against a variety of data types. The book starts with an overview of what anomalies and outliers are and uses the Gestalt school of psychology to explain just why it is that humans are naturally great at detecting anomalies. From there, you will move into technical definitions of anomalies, moving...























