Get Machine Learning Using R Background. One of the most common modeling approaches in statistical learning is linear regression. The general form of a linear regression model is = β0 + β1×1 + β2×2 + ··· + βkxk + ε, where ε is normally distributed with mean 0 and some variance σ2.
R language provides the best prototype to work with machine learning models. The general form of a linear regression model is = β0 + β1×1 + β2×2 + ··· + βkxk + ε, where ε is normally distributed with mean 0 and some variance σ2. R language has the best tools and library packages to work with machine learning projects.
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What are the cons of using your for machine learning? R language provides the best prototype to work with machine learning models. Preview this title now for free. In r, use the lm function to generate these models.
