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TopNewBestAskShowJobs
301.
An Appreciation of Locality Sensitive Hashing (win-vector.com)
1 point
jmount
15 years ago
discuss
302.
An Effective Personal Jupyter Data Science Workflow (win-vector.com)
1 point
jmount
4 years ago
discuss
303.
What does machine learning fitting do? (win-vector.com)
1 point
jmount
4 years ago
discuss
304.
Increase your productivity (win-vector.com)
1 point
jmount
15 years ago
discuss
305.
The equivalence of logistic regression and maximum entropy models (win-vector.com)
1 point
jmount
15 years ago
discuss
306.
How to Read Sourav Chatterjee’s Basic Xicor Defenition (win-vector.com)
1 point
jmount
4 years ago
discuss
307.
Coordinatized Data a Fluid Data Specification (win-vector.com)
1 point
srean
4 years ago
discuss
308.
Your Data is Never the Right Shape (win-vector.com)
1 point
jmount
15 years ago
discuss
309.
Data_algebra 0.7.0 What is New (win-vector.com)
1 point
jmount
5 years ago
discuss
310.
Kelly Thorp Betting Example (win-vector.com)
1 point
jmount
5 years ago
discuss
311.
Automatic Detection of Potential Deadlock (win-vector.com)
1 point
jmount
15 years ago
discuss
312.
Rule 42 Software (win-vector.com)
1 point
jmount
5 years ago
discuss
313.
The Hyper Dance (win-vector.com)
1 point
jmount
5 years ago
discuss
314.
The Data Scientist as the Bus Driver (win-vector.com)
1 point
jmount
5 years ago
discuss
315.
Some Thoughts on Numbers (win-vector.com)
1 point
jmount
6 years ago
discuss
316.
How and Why Am I Making These Light-Board Video Lectures (win-vector.com)
1 point
erehweb
6 years ago
discuss
317.
Squeezing the Most Utility from Your Models (win-vector.com)
1 point
jmount
6 years ago
discuss
318.
Maybe Businesses Don’t Need to Worry So Much About Inference (win-vector.com)
1 point
jmount
6 years ago
discuss
319.
Statistics to English Translation (win-vector.com)
1 point
jmount
6 years ago
discuss
320.
Data Science Is a Science (Just Not the One You May Think) (win-vector.com)
1 point
jmount
6 years ago
discuss
321.
Unrolling the ROC (win-vector.com)
1 point
jmount
6 years ago
discuss
322.
Don’t Use Classification Rules for Classification Problems (win-vector.com)
1 point
jmount
6 years ago
discuss
323.
Imputing Out of Mixtures, or Un-Stirring Spicy Soup (win-vector.com)
1 point
jmount
6 years ago
discuss
324.
Y-Conditionally Regularized Neural Nets (win-vector.com)
1 point
jmount
6 years ago
discuss
325.
Why We Plot Predictions on the X-Axis (win-vector.com)
1 point
jmount
7 years ago
discuss
326.
Tools for preparing data for machine learning in Python and R (win-vector.com)
1 point
jmount
7 years ago
discuss
327.
Learn Logistic Regression (and beyond) (win-vector.com)
1 point
jmount
16 years ago
discuss
328.
Introducing RcppDynProg (win-vector.com)
1 point
jmount
7 years ago
discuss
329.
World series math interview question (win-vector.com)
1 point
jmount
16 years ago
discuss
330.
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
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