Skip to main content

Step 1 — Math Warm-Up

More
3 days 10 hours ago - 3 days 9 hours ago #25 by PABlo
Step 1 — Math Warm-Up
Sharpen just enough math to be dangerous: stats & probability, linear algebra, optimization intuition.

Teacher
Deliverable: A 1–2 page lesson scaffold (objectives, mini-exercises, exit ticket) + one class activity.
Copy Prompt: Create a 90-minute lesson scaffold that reviews mean/variance, matrix multiply, and gradients with 3 micro-exercises and an exit ticket connecting to ML.

Student
Deliverable: One-page notes + a solved practice set (5–8 items).
Copy Prompt: Give me a 2-week, 30-min/day math refresh plan for stats and linear algebra with daily problems and quick solutions I can check.

Student Entrepreneur
Deliverable: A “metrics cheat-sheet” relevant to your idea (conversion rate, CTR, etc.).
Copy Prompt: List 8 practical metrics I should track for an AI study-assistant MVP and show how mean, variance, and confidence intervals apply.

Working Adult / Entrepreneur
Deliverable: A one-pager translating the math into your workflow (forecasts, risk, KPIs).
Copy Prompt: Map my role as [job/industry] to 5 math concepts I’ll use for decisions, with one worked example each.

Post here: Share your artifact (PDF/image/link) + one open question.
Last edit: 3 days 9 hours ago by PABlo.

Please Log in to join the conversation.

Time to create page: 0.523 seconds
Powered by Kunena Forum