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Visualizing kernel methods intuition in high-dimensional space.
  • Dr. Ingrid Falk-Weller
  • May 16, 2026
  • (0)
  • Machine Learning

Comparing Points in a Space You Never Actually Build

I spent three months in a PhD lab trying to wrap my head around the “mathematical elegance” of Hilbert spaces, only to realize that most textbooks treat kernel methods intuition like a sacred, untouchable ritual. They throw high-dimensional geometry at…

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Refactoring safely ensures behavior remains unchanged.
  • Dr. Ingrid Falk-Weller
  • May 14, 2026
  • (0)
  • Software Engineering

Refactoring Means Behaviour Does Not Change, or It Is Not Refactoring

I remember sitting in a windowless server room three years ago, watching a junior engineer attempt to “clean up” a critical path in our distributed consensus module. He had followed a textbook pattern to the letter, yet within twenty minutes,…

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Ethics in computing research: technical feasibility.
  • Dr. Ingrid Falk-Weller
  • May 14, 2026
  • (0)
  • Research Practice

Technical Feasibility Is Not Ethical Permission

I remember sitting in a windowless conference room during my final year of my PhD, listening to a senior researcher drone on about how “ethical frameworks” would naturally emerge from the elegance of our new distributed consensus algorithm. It was…

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Understanding write amplification on SSDs.
  • Dr. Ingrid Falk-Weller
  • May 12, 2026
  • (0)
  • Systems

Writing One Byte Can Rewrite a Megabyte

I remember sitting in a windowless server room during my first industry stint, staring at a telemetry dashboard that made absolutely no sense. We were pushing what we thought was a modest workload, yet the drive endurance metrics were cratering…

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Binary search beyond sorted arrays concept.
  • Dr. Ingrid Falk-Weller
  • May 12, 2026
  • (0)
  • Algorithms

Binary Search Works on Any Question With a Yes No Boundary

I spent three years in academia watching brilliant researchers build incredibly complex, distributed indexing structures just to avoid a problem that could have been solved with a simple decision tree. It’s a recurring frustration of mine: we see these massive,…

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SSD behaviour versus HDD random read performance.
  • Dr. Ingrid Falk-Weller
  • May 10, 2026
  • (0)
  • Systems

Random Reads Stopped Being Expensive

I spent most of my graduate years listening to the rhythmic, mechanical click of hard drives—a sound that felt reliable until I realized it was actually the sound of physical limitations fighting against my code. Most people approach the debate…

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Maximizing margins using support vector machines.
  • Dr. Ingrid Falk-Weller
  • May 7, 2026
  • (0)
  • Machine Learning

Finding the Widest Possible Gap Between Two Classes

I spent three years in academia watching people treat support vector machines like some sort of mystical, impenetrable black box that required a divine revelation to implement. I’ve sat through seminars where presenters used dense, intimidating notation to mask the…

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Union find and path compression algorithm diagram.
  • Dr. Ingrid Falk-Weller
  • May 7, 2026
  • (0)
  • Algorithms

Nearly Constant Time by Rewriting History

I spent three weeks in my late twenties debugging a distributed consensus module, only to realize the bottleneck wasn’t the network latency or the consensus protocol itself, but a poorly implemented Disjoint Set Union. Most textbooks present union find and…

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Understanding test coverage and its limits.
  • Dr. Ingrid Falk-Weller
  • May 4, 2026
  • (0)
  • Software Engineering

Coverage Measures Execution, Not Verification

I remember sitting in a windowless war room three years ago, staring at a dashboard that proudly displayed 98% code coverage while our distributed consensus module was actively melting down in production. We had hit every line, every branch, and…

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Expert professional managing research data provenance.
  • Dr. Ingrid Falk-Weller
  • May 4, 2026
  • (0)
  • Research Practice

Provenance Matters More Than Volume

I remember sitting in a windowless basement lab five years ago, staring at a directory named `final_results_v3_USE_THIS_ONE.zip` and feeling a profound sense of dread. I had spent months on a distributed consensus experiment, only to realize that my metadata was…

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