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Parallelism of Statistics and Machine Learning

At first glance, machine learning seems to be distant from statistics. However, if we take a deeper look into them, we can draw parallels between both. In this chapter, we will deep dive into the details. Comparisons have been made between linear regression and lasso/ridge regression in order to provide a simple comparison between statistical modeling and machine learning. These are basic models in both worlds and are good to start with.

In this chapter, we will cover the following:

  • Understanding of statistical parameters and diagnostics
  • Compensating factors in machine learning models to equate statistical diagnostics
  • Ridge and lasso regression
  • Comparison of adjusted R-square with accuracy
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