Maths for ML and Deep Learning Interview Pack
Linear algebra, gradients, probability and Bayes, statistics, optimisation and a tiny network by hand.
120 questions, each with why it is asked, a full answer, what the interviewer listens for, follow-ups, common mistakes and a diagram. By Roni Das.
About 20% junior, 35% mid, 30% senior and 15% staff.
Sections, from small ideas to big ones
- linear algebra
- calculus and gradients
- probability and Bayes
- statistics
- optimisation
- information theory
- a tiny network by hand
Coming soon
5 free questions from this pack
The free sample questions are being added.