average Math Academy student
> "you need to develop automaticity bro"
> posts daily "grinding math" updates
> skips all theory sections (go back when fails)
> thinks they'll understand LLM papers after M4ML
> rage quits when misses bonus points
> exclusively learns through
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En la universidad ya se enseña machine learning, análisis y diseño de algoritmos, estructura de datos, minería de datos. Sin embargo, álgebra y cálculo diferencial son prerrequisitos para machine learning, si no los dominas solamente estarías copiando y ejecutando código de
> day 13 - low level + math journey
today's progress (~4h):
> math academy 🧮:
◆ Completed 7 lessons and 1 assessment
◆ Earned 83 XP today, 540 XP this week
◆ Topics: graph transformations, rational expressions, cubic factoring
◆ Aced Quiz 13 with 15/15xp
◆ Currently in
Alright, I'm done, gonna read it thoroughly.
I've been exploring for a while topics like spaced repetition, active recall and have applied them to my low-level + math journey for the last 35 days.
They have been incredibly effective so far. So I decided to go way deeper into
Many people know that active learning is superior to passive learning, and that deliberate practice is the most effective type of active learning.
However, many of those people still don't understand just how much of a practice session should constitute active learning.
Even if
This is my thought process behind my math notes. I let AI create notes to quickly grasp unknown topics, then I refine them if needed after the lesson.
Personally, I just solve a bunch of math problems by hand
railly.dev/writing/how-i-…