Connecting Bayesian to Regularization
Bayesian priors as regularizers: Laplace→L1 (Lasso) and Gaussian→L2 (Ridge)
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Good Reads
A rolling list of books I enjoyed, with short notes on why they stuck
My Take on TED Talks
A rolling log of TED takeaways on conversation, self-control, imposters, and memory
SSH Proxy Jump
SSH key auth and proxy jumps: keygen, key distribution, and practical config patterns
Autoencoders and VAEs
Autoencoders vs VAEs: latent compression, KL regularization, and reparameterization
Hey system call! Where on earth are you?
Where syscalls live, why UNIX has a ‘narrow waist’, and what read/write really mean