Everyday across the world, thousands of businesses are victimized by fraud. Who commits these bad acts? Why? And, how? The course are going to help answer the questions: who commits fraud, why and how. Also it helps develop skills for catching them.

• Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
• Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
• Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)