This book helped me crack my ML interview at Goldman Sachs...
I have been getting great response on my posts lately so decided to share one of the most important books on Optimization algorithms that helped me crack my interview at Goldman. Mykel J. Kochenderfer and Tim A. Wheeler have done a greta job explaining some of the toughest concepts in Mathematical optimization and they have implemented the code in Julia which is super fun to code along.
Next post on AI will come when this post gets 50 likes.
Sharing the link to the book here, it covers some of the most foundational topics in optimization.
Did you actually?
Based on your previous posts in this community, I am starting to doubt your credibility.
I could be wrong.
Yeah focused too much on accumulating grapes.i share the research paper findings as well. But I don't share it on grapevine , because people can easily find my identity via LinkedIn since I started to post weekly there.
So every time you add these resources, could you please add the questions that were asked pertaining to that resource? It’d be really beneficial for the community.
Thanks!
Can I DM, looking to crack DS role but not encouraging results.
Have a mix of DS and analytics experience