This is probably the best starting point I found for ML-specific interviews (whether its internships/ full time):
https://huyenchip.com/ml-interviews-book/
. Talks about the process in detail too, in addition to practice questions.
Andrej Karpathy’s course :
Neural Networks: Zero to Hero
Hager Rady’s (U of A / Amii alumna) Interview prep
guide
for research positions.
Grokking the Machine Learning Interview
Repo
of papers & tech blogs by companies sharing their work on data science & machine learning in production
Math for ML textbook
For probability/stats review: check out section 1 of the
Deep Learning Book
and chapter 2 of
elements of statistical learning
.
Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI
For cheatsheets and all sorts of interview practice for ML interviews:
https://github.com/khangich/machine-learning-interview
Lyft had a blog for Data Science interviews
here
.
Navigate Through the Current AI Job Market: A Retrospect
A
deck of slides
with resources for MLE/Data Science interviews by a Research Science Manager at Google.
List of ML Youtube courses
Data Science interview questions collection
. 800+ Q & As.
MLOps guide
by Chip Huyen