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utkuufuk.com | ||
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teddykoker.com
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| | | | A few posts back I wrote about a common parameter optimization method known as Gradient Ascent. In this post we will see how a similar method can be used to create a model that can classify data. This time, instead of using gradient ascent to maximize a reward function, we will use gradient descent to minimize a cost function. Lets start by importing all the libraries we need: | |
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blog.minitab.com
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| | | | Regression Analysis: How Do I Interpret R-squared and Assess the Goodness-of-Fit? | |
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teddykoker.com
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| | | | In the next few posts, I will be going over a strategy that uses Machine Learning to determine what trades to execute. Before we start going over the strategy, we will go over one of the algorithms it uses: Gradient Ascent. | |
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jimmeruk.com
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| | This idiot posted a picture of himself during the election campaign. Ripe for photoshopping. |