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senthil.learntosolveit.com
| | sander.ai
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| | This is an addendum to my post about typicality, where I try to quantify flawed intuitions about high-dimensional distributions.
| | 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:
| | e2eml.school
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| | craftofcoding.wordpress.com
8.0 parsecs away

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