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