Stories by jmount

Data Science Is Not “Statistics Done Wrong”

Imputing Out of Mixtures, or Un-Stirring Spicy Soup

Y-Conditionally Regularized Neural Nets

Version control is a time machine that translates hindsight into foresight

When Cross-Validation Is More Powerful Than Regularization

Why We Plot Predictions on the X-Axis

Tools for preparing data for machine learning in Python and R

Practical Data Science with R Book Update (April 2019)

Tidyverse users: gather/spread are on the way out

Timing the Same Algorithm in R, Python, and C++

Introducing RcppDynProg

Conway’s Game of Life in R: Or on the Importance of Vectorizing Your R Code

Visually Designing Data Transforms

Quick Significance Calculations for A/B Tests

Timing Column Indexing in R

A history of macros in R

Timings of a Grouped Rank Filter Task

Announcing Practical Data Science with R, 2nd Edition

Vtreat: Big Data Scale Data Preparation from R

Codd's 12 rules

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