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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
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