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jakevdp.github.io
| | dennybritz.com
5.5 parsecs away

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| | All the code is also available as an Jupyter notebook on Github.
| | www.analyticsvidhya.com
5.6 parsecs away

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| | Take your machine learning skills to the next level with Support Vector Machines (SVM) for tasks like regression and classification.
| | austinrochford.com
5.0 parsecs away

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| | For my day job, I spend a lot of time thinking about e-commerce analytics and cohort analysis in particular. Statistical age-period-cohort (APC) models are important in many fields such as epidemiolo
| | vxlabs.com
17.2 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.