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| | utkuufuk.com
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| | Logistic regression is a simple classification method which is widely used in the field of machine learning. Today were going to talk about how to train our own logistic regression model in Python to
| | finnstats.com
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| | Nonlinear Regression Analysis in R. We learned about R logistic regression and its applications, as well as MLE line estimation and NLRM.
| | www.ericekholm.com
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| | Learning maximum likelihood estimation by fitting logistic regression 'by hand' (sort of)
| | blog.otoro.net
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| [AI summary] This article describes a project that combines genetic algorithms, NEAT (NeuroEvolution of Augmenting Topologies), and backpropagation to evolve neural networks for classification tasks. The key components include: 1) Using NEAT to evolve neural networks with various activation functions, 2) Applying backpropagation to optimize the weights of these networks, and 3) Visualizing the results of the evolved networks on different datasets (e.g., XOR, two circles, spiral). The project also includes a web-based demo where users can interact with the system, adjust parameters, and observe the evolution process. The author explores how the genetic algorithm can discover useful features (like squaring inputs) without human intervention, and discusses the ...