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Part 2: Avoiding burnout, learning strategies and the superpower of solitude
10 min read -
Why continuous learning matters & how to come up with topics to study
7 min read -
How experimentation is more powerful than knowing counterfactuals
7 min read -
An explanation of the causal assumption implicit in prescriptive modeling and how to satisfy it.
16 min read -
Mastering the fundamentals of bagging and boosting with simple examples
16 min read -
Part 6: Balancing multiple objectives using the weights and preemptive goal programming approaches
12 min read -
Where the gambler’s fallacy shows up in data science and what to do about it
12 min read -
Part 5: Increasing LP flexibility to handle tricky logic
15 min read -
Part 4: Extending linear programming optimization to discrete decision variables
11 min read -
8 strategies I used (and you can too) on my journey to data science
13 min read
