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Data Science: A Mindset for Productivity
Daniel Tunkelang
@dtunkelang
tl;dr
The most important part of data science is picking
the right problem and figuring out how to frame it.
We’re all technologists, right?
But nobody knows everything.*
Class HashMap<K,V>
java.lang.Object
java.util.AbstractMap<K,V>
java.util.HashMap<K,V>
Type P...
Math and computer science matter…
But you have to solve the right problem.
Stay friends with your exes.
explain
express
experiment
Data science is a mindset.
Explain
Iterate using explainable models.
Express
Model your utility and inputs.
Experiment
Opt...
Explain
With apologies to the little prince.
Deep learning is the new black.
But accuracy isn’t everything.
The importance of being explainable.
• Algorithms can protect you from overfitting, but they
can’t protect you from the bi...
Linear models? Decision trees?
• Linear regression and decision trees favor explainability over accuracy,
compared to more...
Express
Machine learning for dummies.
• Define objective function.
• Collect training data.
• Build models.
• Profit!
You only improve what you measure.
Clicks?
Actions?
Outcomes?
Sometimes accuracy is complicated.
What’s your error function?
Consider stratified sampling.
Experiment
How to find your prince.
You have to kiss a lot of frogs to find one prince. So
how can you find your prince faster?
By fi...
Think like an economist.
Yesterday
Experiments are expensive,
choose hypotheses wisely.
Today
Experiments are cheap,
do as...
But don’t forget you’re a scientist.
Optimize for the speed of learning.
Test one variable at a time.
• Autocomplete
• Entity Tagging
• Vertical Intent
• # of Suggestions
• Suggestion Order
• Lan...
tl;dr
The most important part of data science is picking
the right problem and figuring out how to frame it.
Daniel Tunkelang
dtunkelang@gmail.com
https://linkedin.com/in/dtunkelang
@dtunkelang
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Stay friends with your exes. Data Science: A Mindset for Productivity

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Stay friends with your exes.
explain
express
experiment

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