[SOHAM GUPTA

Computer Science & Statistics.

Optimizing Gradient Descent — adaptive learning rates and momentum in neural networks Probabilistic Data Structures — bloom filters, count-min sketch, and hyperloglog Bayesian Inference in R — practical applications with Stan and brms