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