Machine Learning with R, 3rd Edition

English | May 20th, 2019 | ISBN: 1788295862 | 458 pages

What you will learn
• Discover the origins of machine learning and how exactly a computer learns by example
• Prepare your data for machine learning work with the R programming language
• Classify important outcomes using nearest neighbor and Bayesian methods
• Predict future events using decision trees, rules, and support vector machines
• Forecast numeric data and estimate financial values using regression methods
• Model complex processes with artificial neural networks — the basis of deep learning
• Avoid bias in machine learning models
• Evaluate your models and improve their performance
• Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlow

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