Handbook of Anomaly Detection: Cutting-edge Methods and Hands-On Code Examples
This second edition is meticulously designed to equip you with the knowledge and skills necessary to excel in this crucial area. It offers a wide range of supervised and unsupervised-learning techniques specialized in anomaly detection. The wealth of visualizations explains not just the ‘how’ but also the ‘why’ behind each method. It includes 200+ Q&As for beginners and seasonable professionals to showcase your knowledge in your next job opportunity.
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- By Chris Kuo
Modern Time Series Forecasting Techniques For Predictive Analytics and Anomaly Detection
WHAT THIS BOOK COVERS This book organizes time series models and applications into six meticulously crafted parts. Each part equips you with the knowledge and skills to conduct time series forecasting and anomaly detection. The six parts are: 1: From Prophet to NeuralProphet 2: Getting Probabilistic Forecasts 3: Autoregressive-based Time Series Techniques 4: Tree-based Time Series Techniques 5: Deep into Deep learning-based Time Series Techniques 6: Transformer-based Time Series Techniques
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- By Chris Kuo