Practical machine learning cookbook: resolving and offering solutions to your machine learning problems with R

Introduction to machine learning -- Classification -- Clustering -- Model selection and regularization -- Nonlinearity -- Supervised learning -- Unsupervised learning -- Reinforecement learning -- Structured prediction -- Neural networks -- Deep learning -- Case study-exploring World Bank data -- Case study-pricing reinsurance contracts -- Case study-forecast of electricity consumption.