Github Trends®
9413 findingsmedian surprise 0.00452window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #3464 · UNIT ID 871470875
rohanmistry231/Mathematics-for-Machine-Learning-Books
A curated collection of books, notes, and resources focused on mathematical foundations for machine learning, covering linear algebra, calculus, and probability. Includes summaries, practice problems, and references to enhance understanding for ML practitioners.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00661
ENGAGEMENT0.56
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
14% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.00
ACCEL
+4.50
RETENTION
0.0%
PEAK 2026-08-19 · FORK-RETENTION 0.0% · 9 STARS / WINDOW

Author Audience

AUDIENCE
414
FOLLOWERS
125
OWNER ★
2,888

Engagement Signals

FORKS
5
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 9 / 9 (DIVERSITY 1.00)

Why This Is A Finding

rohanmistry231/Mathematics-for-Machine-Learning-Books собрал 9 звёзд за окно, тогда как у автора всего 125 подписчиков — эффективная аудитория ≈ 414. Это даёт surprise-индекс 0.00661 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9413 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 63%
VELOCITY3.005.67-2.67ABOVE 10%
RETENTION0.0%40.0%-40.0 PPABOVE 0%
FORKS5318-313ABOVE 3%
SURPRISE0.010.00+0.00ABOVE 57%