A guide to out-of-bag validation — what it is, its benefits and some considerations.
...summarized in a single frame.
But isn't well-separated data easiest to separate?
Understanding scaling and standardization from the perspective of skewness.
Intuitive guide to handling non-linearity with neural networks.
Understanding the rationale behind a powerful yet overlooked technique in machine learning.
A reminder to always prefer specific methods over a generalized approach.
Assumption turned into performance validation.
Addressing major limitations of the most popular density-based clustering algorithm — DBSCAN.
Build reliable, documented and tested projects with Sourcery.
An intuitive guide to ReLU that you always wanted to read.
The most optimized CPU implementation of tSNE.
