Heykuki News

TopNewBestAskShowJobs
TopNewBestAskShowJobs
301.
Rule 42 Software (win-vector.com)
1 point
jmount
5 years ago
discuss
302.
The Hyper Dance (win-vector.com)
1 point
jmount
5 years ago
discuss
303.
The Data Scientist as the Bus Driver (win-vector.com)
1 point
jmount
5 years ago
discuss
304.
Some Thoughts on Numbers (win-vector.com)
1 point
jmount
6 years ago
discuss
305.
How and Why Am I Making These Light-Board Video Lectures (win-vector.com)
1 point
erehweb
6 years ago
discuss
306.
Squeezing the Most Utility from Your Models (win-vector.com)
1 point
jmount
6 years ago
discuss
307.
Maybe Businesses Don’t Need to Worry So Much About Inference (win-vector.com)
1 point
jmount
6 years ago
discuss
308.
Statistics to English Translation (win-vector.com)
1 point
jmount
6 years ago
discuss
309.
Data Science Is a Science (Just Not the One You May Think) (win-vector.com)
1 point
jmount
6 years ago
discuss
310.
Unrolling the ROC (win-vector.com)
1 point
jmount
6 years ago
discuss
311.
Don’t Use Classification Rules for Classification Problems (win-vector.com)
1 point
jmount
6 years ago
discuss
312.
Imputing Out of Mixtures, or Un-Stirring Spicy Soup (win-vector.com)
1 point
jmount
6 years ago
discuss
313.
Y-Conditionally Regularized Neural Nets (win-vector.com)
1 point
jmount
6 years ago
discuss
314.
Why We Plot Predictions on the X-Axis (win-vector.com)
1 point
jmount
7 years ago
discuss
315.
Tools for preparing data for machine learning in Python and R (win-vector.com)
1 point
jmount
7 years ago
discuss
316.
Learn Logistic Regression (and beyond) (win-vector.com)
1 point
jmount
16 years ago
discuss
317.
Introducing RcppDynProg (win-vector.com)
1 point
jmount
7 years ago
discuss
318.
World series math interview question (win-vector.com)
1 point
jmount
16 years ago
discuss
319.
Conway’s Game of Life in R: Or on the Importance of Vectorizing Your R Code (win-vector.com)
1 point
jmount
8 years ago
discuss
320.
Timings of a Grouped Rank Filter Task (win-vector.com)
1 point
jmount
8 years ago
discuss
321.
Announcing Practical Data Science with R, 2nd Edition (win-vector.com)
1 point
jmount
8 years ago
discuss
322.
Automating data science steps: join dependency sorting (win-vector.com)
1 point
jmount
9 years ago
discuss
323.
Vtreat: a set of procedures for preparing data (win-vector.com)
1 point
jmount
9 years ago
discuss
324.
Upgrading to macOS Sierra (nee OS X) for R users (win-vector.com)
1 point
jmount
9 years ago
discuss
325.
A Theory of Nested Cross Simulation (win-vector.com)
1 point
jmount
9 years ago
discuss
326.
Data Cleaning and Preparation, Long Form and Tl;dr Form (win-vector.com)
1 point
jmount
9 years ago
discuss
327.
Laplace noising versus simulated out of sample methods (cross frames) (win-vector.com)
1 point
jmount
10 years ago
discuss
328.
Deming, Wald and Boyd: cutting through the fog of analytics (win-vector.com)
1 point
jmount
16 years ago
discuss
329.
Some of the history and purpose of "Hello World" (win-vector.com)
1 point
jmount
16 years ago
discuss
330.
On calculating AUC (win-vector.com)
1 point
jmount
10 years ago
discuss
More