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Of Bikes and Men

Fitting a Regression Model to Data with Gradient Descent
  • Mathias Brandewinder
Chapter
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Abstract

So far, the problems we have tackled have involved classifying items between a limited set of possible categories. While classification has applications in many practical situations, an arguably more common problem is to predict a number. Consider, for instance, the following task: Given the characteristics of a used car (age, miles, engine size, and so forth), how would you go about predicting how much it is going to sell for? This problem doesn't really fit the pattern of classification. What we need here is a model that differs from classification models in at least two aspects:

Keywords

Cost Function Gradient Descent Entire Dataset Individual Observation Stochastic Gradient Descent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Mathias Brandewinder 2015

Authors and Affiliations

  • Mathias Brandewinder
    • 1
  1. 1.CAUS

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