#machine-learning
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Bayesian Tuning for Imbalanced Classification · This is a tutorial/explanation of how to set up XGBoost for imbalanced classification while tuning for...
This entire post is dedicated to coming to terms with tensorflow's metrics, and the varying input formats associated with it. It is a direct result of...
It comes a point in time when anyone who deals with data must face the ugly truth, the real-world is a messy, sometimes nondeterministic place, and...
TLDR: So I was working on my thesis, and wanted to implement a particular paper that I would be able to iterate upon, long story short: this paper...
Why Encoding? Supervised machine learning is the task of extracting latent relationships present in data. Typically, this involves a set of values...
GPU Programming · Threads, Blocks and Grids A thread is a single "process" on GPU. Any given GPU kernel can use blocks of threads, grouped into a grid of...