Part II: Manual Feature Engineering techniques for the Kaggle Home Credit Default Competition

Building reliable machine learning models with cross-validation

Cross-validation is a technique used to measure and evaluate machine learning models performance. During training we create a number of partitions of the training set and train/test on different subsets of those…

“Do CIFAR-10 Classifiers Generalize to CIFAR-10?” — On adaptivity in machine learning

What is adaptive data analysis? The crux of statistical learning theory is about guaranteeing generalization, i.e a small gap between accuracy with respect to the true data…

Introducing Comet.ml Project Visualizations

Compare across your model iterations efficiently with rich visualizations to identify your champion model

Introducing Comet.ml’s new Query Builder

Now you can easily find and organize your experiments with…

Podcast Take: In Context Episode 9 with StitchFix’s Chief Algorithms Officer