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| | matbesancon.xyz
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| | Learning by doing: predicting the outcome.
| | www.ericekholm.com
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| | Learning maximum likelihood estimation by fitting logistic regression 'by hand' (sort of)
| | www.arrsingh.com
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| | Linear Regression predicts the value of a dependent variable (y) given one or more independent variables (x1, x2, x3...xn). In this case, y is continuous - i.e. it can hold any value. In many real world problems[1], however, we often want to predict a binary value instead
| | blog.vstelt.dev
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| [AI summary] The article explains the process of building a neural network from scratch in Rust, covering forward and backward propagation, matrix operations, and code implementation.