Official speed |
66.85 wpm (101.96 seconds elapsed during race) |
Without ending ping |
68.23 wpm (2,067 ms delay sending score to TypeRacer’s server) |
Timerless |
70.13 wpm (2,706 ms elapsed before first character typed; 97.19 seconds elapsed during race) |
Timerless minus one |
70.01 wpm, ignoring the first character typed |
Race Start |
April 4, 2025 4:39:16pm UTC |
Race Finish |
April 4, 2025 4:40:58pm UTC |
Outcome |
Win (1 of 3) |
Accuracy |
97.4% |
Points |
96.94 |
Text |
#3640614 (Length: 568 characters) I basically know of two principles for treating complicated systems in simple ways; the first is the principle of modularity and the second is the principle of abstraction. I am an apologist for computational probability in machine learning, and particularly for graphical models and variational methods, because I believe that probability theory implements these two principles in deep and intriguing ways - namely through factorization and through averaging. Exploiting these two mechanisms as fully as possible seems to me to be the way forward in machine learning. |
Characters typed |
I basically know of wttwo principles offor treating complicated systems in simple ways; the first is the rpinpricnncipelle of modularity and the second is the principle of abstarraction. AI am an aplologist for computational probability in mancchine learning, and particularyly afor graphical models and variational methods, because I believe that probability theory implements these two principles in deep and intriguing ways - namely through factorization and through averaging. Explitioiting these two mechanisms as fully as possible seems to me to be the way forarward in mahicnchine learning. |
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WPM Timing |
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