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121.
▲
Practical Data Science with R, deal of the day Aug 1 2013
win-vector.com
discuss
13 years ago
jmount
3 points
122.
▲
Data Science, Machine Learning, and Statistics: what is in a name?
win-vector.com
discuss
13 years ago
jmount
3 points
123.
▲
I Am Tired of Praise of Byproduct
win-vector.com
discuss
5 months ago
jmount
3 points
124.
▲
Text as a "Market for Lemons"
win-vector.com
discuss
7 months ago
jmount
3 points
125.
▲
Reducing Optimization Risk Through Portfolio Methods
win-vector.com
discuss
10 months ago
jmount
3 points
126.
▲
On Writing Technical Articles for the Nonspecialist
win-vector.com
discuss
14 years ago
jmount
3 points
127.
▲
Don't think of a basketball player, or search engines don't even support "not"
win-vector.com
discuss
a year ago
jmount
3 points
128.
▲
ChatGPT Is Getting Scary Better at Math
win-vector.com
discuss
2 years ago
jmount
3 points
129.
▲
How to Use Jupyter Notebooks Inside For-Loops
win-vector.com
discuss
2 years ago
jmount
3 points
130.
▲
How much data do you need?
win-vector.com
discuss
3 years ago
jmount
3 points
131.
▲
What is a large enough random sample? (relevant to A/B testing)
win-vector.com
discuss
15 years ago
jmount
3 points
132.
▲
The Nature of Overfitting
win-vector.com
discuss
5 years ago
jmount
3 points
133.
▲
What Is Statistics?
win-vector.com
discuss
6 years ago
jmount
3 points
134.
▲
A Gruesome Example of Bayes’ Law (learn statistics from the Covid-19 disaster)
win-vector.com
discuss
6 years ago
jmount
3 points
135.
▲
Let A be a Pedant and Let B be a Pedant
win-vector.com
discuss
6 years ago
jmount
3 points
136.
▲
Data Science Is Not “Statistics Done Wrong”
win-vector.com
discuss
6 years ago
jmount
3 points
137.
▲
A demonstration of some of the steps taken when I make an algorithmic art movie
win-vector.com
discuss
16 years ago
jmount
3 points
138.
▲
Y-aware principal components regression (better for predictive modeling)
win-vector.com
discuss
10 years ago
jmount
3 points
139.
▲
Databases in containers
win-vector.com
discuss
10 years ago
jmount
3 points
140.
▲
Living in A Lognormal World: Optimizing Sales vs. Optimizing Customers
win-vector.com
discuss
16 years ago
jmount
3 points
141.
▲
Who is allowed to call themselves a data scientist?
win-vector.com
discuss
11 years ago
jmount
3 points
142.
▲
How About Pi – 31/32?
win-vector.com
2 comments
a year ago
jmount
2 points
143.
▲
My "must have" software list, what is your list?
win-vector.com
2 comments
16 years ago
jmount
2 points
144.
▲
The Local to Global Principle: A problem solving heuristic
win-vector.com
1 comment
17 years ago
jmount
2 points
145.
▲
Revisiting Cleveland’s The Elements of Graphing Data in ggplot2
win-vector.com
1 comment
13 years ago
jmount
2 points
146.
▲
What Fraction of Containerization Is Just Working Around Dynamic Linking?
win-vector.com
1 comment
a year ago
jmount
2 points
147.
▲
Popularizers Earned the 1*1=2 Egg in Face
win-vector.com
1 comment
2 years ago
jmount
2 points
148.
▲
Do your tools support production or complexity?
win-vector.com
1 comment
15 years ago
jmount
2 points
149.
▲
Data.table objects should not be considered data.frame instances in R
win-vector.com
1 comment
10 years ago
erehweb
2 points
150.
▲
Some programming language theory in R
win-vector.com
1 comment
10 years ago
jmount
2 points
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