Learning objectives
- • Write linear and logistic regression without relying on framework abstractions
- • Explain the update rule and convergence behavior of simple optimizers
- • Communicate assumptions and shortcuts under time pressure
Foundations
ML Coding From Scratch
Implement classic algorithms from first principles to sharpen your understanding and whiteboard fluency.
Recommended on day 20120 minutesIntermediate
Interview prompts
- • How would you implement k-means and reason about initialization sensitivity?
- • What simplifications are acceptable when coding logistic regression in an interview?
Prerequisites