Statistical Thinking
Variation, sampling, and uncertainty
Community course by @tensorgirl · Advanced
Linear Algebra for ML
Vectors, matrices, and gradients
Part 2 of 2 in Machine Learning Foundations
Build geometric intuition for the linear algebra that powers modern models. Demo community course awaiting lessons.
- Mathematics
- Linear Algebra
- Artificial Intelligence
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About these lessons
Lessons for this course are still being authored.
You can still add the course and study its premade deck.
Series outline
- Machine Learning Flashcards
- Linear Algebra for ML This course
Keep reading
How the catalog, the scheduler, and your own cards fit together.
- Courses you can turn into cardsAdd a course, select a line, keep it as a flashcard.
- FSRS in plain EnglishWhat the scheduler predicts and why it asks two questions.
- Spaced repetition that adapts to youFSRS, presets, and the two-grade reviewer.
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