Anomaly Detection
Anomaly detection is the process of identifying rare items, events, or observations that deviate significantly from the majority of data patterns. It involves statistical, machine learning, and deep learning techniques to flag unusual behavior in time-series data, system metrics, or transactional records. This skill is essential for monitoring systems, detecting fraud, and ensuring operational reliability.
Companies need anomaly detection now because of the explosion of real-time data from cloud infrastructure, IoT devices, and financial transactions, requiring automated monitoring to prevent outages, security breaches, and fraud. With AI-driven operations becoming standard, tools that can automatically flag deviations in system performance (like Datadog) or user behavior (like Anthropic's safety systems) are critical for maintaining reliability and trust.
🎓 Courses
Advanced Malware and Network Anomaly Detection
In the first two modules, you will gain foundational knowledge about various types of malware and advanced detection techniques, including supervised
Anomaly Detection: Machine Learning, Deep Learning, AutoML
Preview this course · Covers Time Based, Non Time Based and Image Anomalies | Understand what happens inside a library | With Explain
Deep Learning for Anomaly Detection with Python
Are you ready to unlock the power ... comprehensive course, you'll dive deep into the world of time series data and equip yourself with t
Certified Anomaly Detection & Outlier Analytics
Anomaly Detection & Outlier Analytics: Mastering Isolation Forest, One-Class SVM, LOF, and Time Series for Fraud. ... This isn&#x
📖 Books
Anomaly Detection Principles and Algorithms (Terrorism, Security, and Computation): Mehrotra, Kishan G., Mohan, Chilukuri K., Huang, HuaMing: 9783319675244
· 2025
Hence computer scientists and ... anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers
Network Anomaly Detection: A Machine Learning Perspective: Bhattacharyya, Dhruba Kumar, Kalita, Jugal Kumar: 9781466582088
· 2025
Network Anomaly Detection: A Machine Learning Perspective [Bhattacharyya, Dhruba Kumar, Kalita, Jugal Kumar] on Amazon.com. *FREE* sh
Practical Machine Learning: A New Look at Anomaly Detection: 9781491911600: Dunning, Ted, Friedman, Ellen: Books
· 2025
Amazon.com: Practical Machine Learning: A New Look at Anomaly Detection: 9781491911600: Dunning, Ted, Friedman, Ellen: Books
🛠️ Tutorials & Guides
Network Anomaly Detection System Project | Machine Learning Project 2026
Network behavior anomaly detection is defined as the process of monitoring enterprise networks to detect abnormal behavior using Machine Learn
Simplatform OracleAD (Oracle for Anomaly Detection) Technical Presentation at NeurIPS 2025
OracleAD is an AI anomaly detection technology developed and researched by SimPlatform. While traditional methods merely stop at &quo
Anomaly Detection in Network Traffic Using Advanced Machine Learning Technique | Python IEEE Project
Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques | Python IEEE Final Year Project 2025 - 2026.🛒Buy Lin
Promcon 2025 - Anomaly Detection - Robust Strategy
SpeakerJorge CreixellLightning talk at Promcon 2025
Building Real-Time Anomaly Detection Systems
In this live coding session, we'll build a real-time anomaly detection system. We'll explore five key methods to identify u
Anomaly detection with TensorFlow | Workshop
Learn how to go from basic Keras Sequential models to more complex models using the subclassing API, and see how to build an autoencoder and use it fo
@0xfud0: Day 118 of my AI journey from scratch. Andrew NG ML
Learning journey covering anomaly detection and ML fundamentals
Learning resources last updated: March 17, 2026