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181.
Computing the mean of medians (win-vector.com)
2 points
jmount
16 years ago
discuss
182.
Gradients via Reverse Accumulation (with Scala code) (win-vector.com)
2 points
jmount
16 years ago
discuss
183.
#R: What is magrittr’s future in the tidyverse? (win-vector.com)
2 points
jmount
9 years ago
discuss
184.
Fun puzzle: array indexing is associative (win-vector.com)
2 points
jmount
9 years ago
discuss
185.
Automatic Differentiation with Scala (with example code) (win-vector.com)
2 points
jmount
16 years ago
discuss
186.
Deming, Wald and Boyd: cutting through the fog of analytics (win-vector.com)
2 points
paulgb
16 years ago
discuss
187.
Iteration and closures (and lazyeval) in R (win-vector.com)
2 points
jmount
9 years ago
discuss
188.
Announcing the wrapr packge for R (win-vector.com)
2 points
jmount
9 years ago
discuss
189.
An R debugging aid: the Bizarro pipe (win-vector.com)
2 points
jmount
9 years ago
discuss
190.
What is index-free data manipulation? (win-vector.com)
2 points
jmount
9 years ago
discuss
191.
The unfortunate one-sided logic of empirical hypothesis testing (win-vector.com)
2 points
jmount
10 years ago
discuss
192.
Proofing statistics in papers (win-vector.com)
2 points
iamjeff
10 years ago
discuss
193.
Adding polished significance summaries to papers using R (win-vector.com)
2 points
jmount
10 years ago
discuss
194.
Relative error distributions, without the heavy tail theatrics (win-vector.com)
2 points
jmount
10 years ago
discuss
195.
Can you nest parallel operations in R? (win-vector.com)
2 points
jmount
10 years ago
discuss
196.
The magrittr monad (win-vector.com)
2 points
michaelsbradley
10 years ago
discuss
197.
The magrittr monad (win-vector.com)
2 points
jmount
10 years ago
discuss
198.
Please Share: New Free E-book: Exploring Data Science (win-vector.com)
2 points
jmount
10 years ago
discuss
199.
Neglected data science optimization topic: set diversity (win-vector.com)
2 points
jmount
10 years ago
discuss
200.
Fluid use of data (win-vector.com)
2 points
jmount
11 years ago
discuss
201.
Crawfurd v the Royal Bank yet again (win-vector.com)
2 points
jmount
11 years ago
discuss
202.
Anaconda: install a Python data science platform quickly (win-vector.com)
2 points
jmount
11 years ago
discuss
203.
Serial writing on data science (win-vector.com)
2 points
jmount
11 years ago
discuss
204.
Using differential privacy to reuse training data (win-vector.com)
2 points
jmount
11 years ago
discuss
205.
Is your model is going to work? Part 2: In-training set measures (win-vector.com)
2 points
jmount
11 years ago
discuss
206.
What was data science before it was called data science? (win-vector.com)
1 point
jmount
11 years ago
2 comments
207.
I do not believe Google invented the term “A/B test” (win-vector.com)
1 point
jmount
11 years ago
1 comment
208.
The Cramer Rao Bound: A Theorem that Limits Google AdSense Participants (win-vector.com)
1 point
jmount
17 years ago
1 comment
209.
A Discrete Model Gauging Market Efficiency (win-vector.com)
1 point
jmount
17 years ago
1 comment
210.
How robust is logistic regression? (win-vector.com)
1 point
jmount
14 years ago
1 comment
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