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

✍ Scribed by Tripathi, Atul

Publisher: Packt Publishing
Year: 2017
Tongue: English
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

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.

✦ Subjects

Machine learning;R (Computer program language)

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