Table of Contents Anomaly Detection: How to Find Outliers Using the Grubbs Test What Is an Outlier? How to Find Outliers with Grubbs Test Formulating the Hypotheses Null Hypothesis Alternative Hypothesis Calculate the Test Statistic Determining the Critical Value with…

Table of Contents Build a Network Intrusion Detection System with Variational Autoencoders Understanding Network Intrusion and the Role of Anomaly Detection What Is Network Intrusion? Importance and Necessity for Advanced IDS Autoencoders for Anomaly Detection What Are Autoencoders? Autoencoders as…

Table of Contents Predictive Maintenance Using Isolation Forest What Is Predictive Maintenance? And Why Anomaly Detection? Predictive Maintenance Predictive Maintenance as Anomaly Detection The Isolation Forest Algorithm Isolation Trees Anomaly Score Building the Forest Implementing Predictive Maintenance Using Isolation Forest…

Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Applications of Anomaly Detection Types of Anomaly Detection Problems Point Anomalies Contextual Anomalies Collective Anomalies Algorithms for Anomaly Detection…

Table of Contents Exploring the Landscape of Machine Learning: Techniques, Applications, and Insights Introduction: The Power of Machine Learning in Modern Industries What Is Machine Learning? Understanding the Core Types of Machine Learning Techniques Supervised Learning: From Basics to Real-World…

In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow. Back in January, I showed you how to use standard machine learning models to perform anomaly detection and outlier detection in image…

In this tutorial, you will learn how to perform anomaly/novelty detection in image datasets using OpenCV, Computer Vision, and the scikit-learn machine learning library. Imagine this — you’re fresh out of college with a degree in Computer Science. You focused…