June 21, 2024, 10:08 p.m.
Weeknotes: 17 June to 21 June 2024
Solving coding problems, benchmarking Ruby methods, defining algorithms, and creating new mental models
Sandra's Weeknotes
What I have found gripping
Talking through a different way to solve a coding problem leads to new insights
One can use Minitest to benchmark Ruby methods
Learning from folks from other contexts and in more senior roles allows one to make new mental models for new technical concepts. Thankful to everyone I spoke to this week
What I have read
Algorithm (Techtarget), Alexander S. Gillis
Mental Models: An Interdisciplinary Synthesis of Theory and Methods, Natalie A. Jones et al.
Prototype-based programming, MDN Web Docs Glossary
Deconstruct #02, Afsa Akbar
5 Ally Actions - Jun 21, 2024, Better Allies
What I have watched
Harvard Professor Explains Algorithms in 5 Levels of Difficulty, WIRED
Featured quote
Algorithms work by following a set of instructions or rules to complete a task or solve a problem. They can be expressed as natural languages, programming languages, pseudocode, flowcharts and control tables. Natural language expressions are rare, as they are more ambiguous. Programming languages are normally used for expressing algorithms executed by a computer. — Alexander S. Gillis
Further reading and resources
In English
Mastering Bias and Variance in Machine Learning Models | ML Optimization, Diarra Bell (IBM)
In French
Les algorithmes : des boîtes noires, vraiment ? David Monniaux, Chercheur en informatique, Centre national de la recherche scientifique (CNRS), Université Grenoble Alpes (UGA)