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You are here		www.ethanrosenthal.com spacecutter: Ordinal Regression Models in PyTorch | Ethan Rosenthal
|	|	isaacslavitt.com Isaac Slavitt: My talk on scikit-learn at Statistical Programming DC	2.6 parsecs away Travel
|	|	[AI summary] The provided text is a detailed tutorial on using scikit-learn for machine learning tasks, including data preprocessing, model selection, cross-validation, and pipeline creation. It also touches on integrating R and Julia with Python through Jupyter notebooks.
|	|	lukesingham.com Binary Classification in Python - Who's Going to Leave Next?	2.2 parsecs away Travel
|	|	This post goes through a binary classification problem with Python's machine learning library scikit-learn.
|	|	teddykoker.com Multi-Class Classification with Logistic Regression in Python | Teddy Koker	1.9 parsecs away Travel
|	|	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:
|	|	algobeans.com Convolutional Neural Networks (CNN) Introduction - Algobeans	12.6 parsecs away Travel
|		While an artificial neural network could learn to recognize a cat on the left, it would not recognize the same cat if it appeared on the right. To solve this problem, we introduce convolutional neural networks.

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