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Beginning Anomaly Detection Using Python-Based Deep Learning.pdf
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What You Will Learn
- Understand what anomaly detection is and why it is important in today’s world
- Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn
- Know the basics of deep learning in Python using Keras and PyTorch
- Be aware of basic data science concepts for measuring a model’s performance: understand what AUC is, what precision and recall mean, and more
- Apply deep learning to semi-supervised and unsupervised anomaly detection
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