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121.

A Few Notes on how to Survive R (win-vector.com)

3 points

17 years ago

122.

On writing a technical book (win-vector.com)

3 points

12 years ago

123.

Practical Data Science with R, deal of the day Aug 1 2013 (win-vector.com)

3 points

13 years ago

124.

Data Science, Machine Learning, and Statistics: what is in a name? (win-vector.com)

3 points

13 years ago

125.

I Am Tired of Praise of Byproduct (win-vector.com)

3 points

5 months ago

126.

Text as a "Market for Lemons" (win-vector.com)

3 points

6 months ago

127.

Reducing Optimization Risk Through Portfolio Methods (win-vector.com)

3 points

10 months ago

128.

On Writing Technical Articles for the Nonspecialist (win-vector.com)

3 points

14 years ago

129.

Don't think of a basketball player, or search engines don't even support "not" (win-vector.com)

3 points

a year ago

130.

ChatGPT Is Getting Scary Better at Math (win-vector.com)

3 points

2 years ago

131.

How to Use Jupyter Notebooks Inside For-Loops (win-vector.com)

3 points

2 years ago

132.

How much data do you need? (win-vector.com)

3 points

3 years ago

133.

What is a large enough random sample? (relevant to A/B testing) (win-vector.com)

3 points

15 years ago

134.

The Nature of Overfitting (win-vector.com)

3 points

5 years ago

135.

What Is Statistics? (win-vector.com)

3 points

6 years ago

136.

A Gruesome Example of Bayes’ Law (learn statistics from the Covid-19 disaster) (win-vector.com)

3 points

6 years ago

137.

Let A be a Pedant and Let B be a Pedant (win-vector.com)

3 points

6 years ago

138.

Data Science Is Not “Statistics Done Wrong” (win-vector.com)

3 points

6 years ago

139.

A demonstration of some of the steps taken when I make an algorithmic art movie (win-vector.com)

3 points

16 years ago

140.

Y-aware principal components regression (better for predictive modeling) (win-vector.com)

3 points

10 years ago

141.

Databases in containers (win-vector.com)

3 points

10 years ago

142.

Living in A Lognormal World: Optimizing Sales vs. Optimizing Customers (win-vector.com)

3 points

16 years ago

143.

Who is allowed to call themselves a data scientist? (win-vector.com)

3 points

11 years ago

144.

How About Pi – 31/32? (win-vector.com)

2 points

a year ago

145.

My "must have" software list, what is your list? (win-vector.com)

2 points

16 years ago

146.

The Local to Global Principle: A problem solving heuristic (win-vector.com)

2 points

17 years ago

147.

Revisiting Cleveland’s The Elements of Graphing Data in ggplot2 (win-vector.com)

2 points

13 years ago

148.

What Fraction of Containerization Is Just Working Around Dynamic Linking? (win-vector.com)

2 points

a year ago

149.

Popularizers Earned the 1*1=2 Egg in Face (win-vector.com)

2 points

2 years ago

150.

Do your tools support production or complexity? (win-vector.com)

2 points

15 years ago