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 www.ericekholm.com
Eric Ekholm - MLE Learning Out Loud 2: Logistic Regression
| | finnstats.com
Nonlinear Regression Analysis in R ยป finnstats
1.7 parsecs away

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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.arrsingh.com
Logistic Regression in Go- arrsingh.com
4.5 parsecs away

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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
| | emiruz.com
Fitting models from noisy heuristic labels - Emir's blog
4.1 parsecs away

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| | vxlabs.com
Variational Autoencoder in PyTorch, commented and annotated. - vxlabs
17.1 parsecs away

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| I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time.