GitHub - ddbourgin/numpy-ml: Machine learning, in numpy
Click to expand! Gaussian mixture model EM training Hidden Markov model Viterbi decoding Likelihood computation MLE parameter estimation via Baum-Welch/forward-backward algorithm Latent Dirichlet allocation (topic model) Standard model with MLE parameter estimation via variational EM Smoothed model with MAP parameter estimation via MCMC Neural networks Layers / Layer-wise ops Add Flatten Multiply
Clear is better than clever | Dave Cheney
This article is based on my GopherCon Singapore 2019 presentation. In the presentation I referenced material from my post on declaring variables and my GolangUK 2017 presentation on SOLID design. For brevity those parts of the talk have been elided from this article. If you prefer, you can watch the recording of the talk. Readability is often cited as one of Go’s core tenets, I disagree. In this a
Raspberry Pi 4 With an SSD: Dramatic Speed Improvements, Higher Price
Raspberry Pi 4 with NVMe SSD Attached If you attach an external SSD to your Raspberry Pi 4 B, you will get significantly faster app opens and file transfers. One of the most important improvements in the Pi 4 is its USB 3.0 interface. Where previous Raspberry Pi models were limited to a USB 2’s theoretical 480 Mbps / 60 MBps maximum speed when connecting to external storage, the new model has an i
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