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Greedy algorithms and when they fail.
  • Dr. Ingrid Falk-Weller
  • February 27, 2026
  • (0)
  • Algorithms

Greedy Works Until Somebody Constructs the Counterexample

I remember sitting in a windowless lab during my second year of grad school, staring at a distributed scheduler that was eating its own tail. We had implemented a classic greedy approach, convinced that picking the shortest task first was…

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Importance of control groups and baselines.
  • Dr. Ingrid Falk-Weller
  • February 24, 2026
  • (0)
  • Research Practice

A Weak Baseline Makes Any Method Look Strong

I remember sitting in a windowless lab during my postdoc, staring at a cluster of results that looked absolutely revolutionary—until I realized we hadn’t actually accounted for the thermal drift in the hardware. We were celebrating a “breakthrough” in latency…

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Diagram illustrating the bias variance tradeoff.
  • Dr. Ingrid Falk-Weller
  • February 22, 2026
  • (0)
  • Machine Learning

Underfitting and Overfitting Are the Same Dial

I remember sitting in a windowless lab three years ago, staring at a model that had achieved near-perfect accuracy on my training set, only to watch it fall apart the moment I fed it real-world data. I had fallen into…

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Memoisation versus tabulation memory profile comparison.
  • Dr. Ingrid Falk-Weller
  • February 21, 2026
  • (0)
  • Algorithms

Same Answer, Different Memory Profile

I spent three years in academia watching brilliant students lose sleep over textbook definitions that felt more like religious dogma than engineering principles. Most tutorials treat the debate of memoisation versus tabulation as a simple choice between “top-down” and “bottom-up,”…

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Understanding branch prediction basics in computing.
  • Dr. Ingrid Falk-Weller
  • February 18, 2026
  • (0)
  • Systems

An Unpredictable if Costs More Than the Work Inside It

I spent three years in academia watching brilliant PhD students get tripped up by performance benchmarks that made absolutely no sense, all because they treated the CPU like a black box that just “works.” They would optimize their code for…

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Scientist designing a valid experiment.
  • Dr. Ingrid Falk-Weller
  • February 17, 2026
  • (0)
  • Research Practice

Change One Thing or Learn Nothing

I remember sitting in a windowless lab during my postdoc, staring at a cluster of results that looked absolutely beautiful—too beautiful. I had spent three months optimizing a distributed consensus protocol, only to realize a week later that my “breakthrough”…

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Dependency inversion in practice using interfaces.
  • Dr. Ingrid Falk-Weller
  • February 16, 2026
  • (0)
  • Software Engineering

Depend on the Interface You Own, Not the Library You Rent

I remember sitting in a windowless lab three years ago, staring at a codebase that was so tightly coupled to a specific cloud provider’s SDK that even changing a single timeout setting felt like performing open-heart surgery. We had been…

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Coupling and cohesion explained through low coupling.
  • Dr. Ingrid Falk-Weller
  • February 14, 2026
  • (0)
  • Software Engineering

Low Coupling Is What Makes Change Cheap

I remember sitting in a windowless lab during my postdoc, staring at a distributed system that had become so tangled it felt less like code and more like a ball of wet yarn. Every time we tried to patch a…

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Learning dynamic programming from scratch with recursion.
  • Dr. Ingrid Falk-Weller
  • February 12, 2026
  • (0)
  • Algorithms

Recursion With a Notebook Is Dynamic Programming

I remember sitting in a windowless grad student lounge at 3:00 AM, staring at a whiteboard covered in recursive calls that felt more like a fever dream than actual logic. Everyone around me was treating dynamic programming like some mystical…

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Cross validation explained through multiple estimates.
  • Dr. Ingrid Falk-Weller
  • February 10, 2026
  • (0)
  • Machine Learning

Five Estimates Beat One Lucky Split

I remember sitting in a windowless lab during my PhD, staring at a training curve that looked absolutely perfect—too perfect. I had spent weeks tuning a model, feeling that intoxicating rush of seeing near-zero error rates, only to have the…

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