January 2024
Beginner to intermediate
538 pages
12h 18m
English
book
Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch
by Suman Kalyan Adari, Sridhar Alla
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Index
A
Activation function
advantages, tanh function
issues, sigmoid
linear modeling
nonlinear
ReLU
SeeReLU activation function
sigmoid
tanh function
tanh graph
Adam optimizer
Affine transformation
Aggregate functions
Air quality index
Air quality monitoring
Air temperatures
ambient_temperature_system_failure
Anomalies
Anomalous Swans
context-based
data point–based
density and tensile strength
outcome/value
pattern-based
time series
personal spending pattern
taxi cab
Anomalous Swans
Anomaly detection
anomaly score calculation
business operations
business use cases
change point detection
data breaches
deep learning
definition
edge computing
environment
event detection
few/zero-shot
generative AI
Golden Gate Bridge
identity theft
isolation forest
SeeIsolation forest
LLMs
LSTM
manufacturing
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.