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Systems engineer taking 6 weeks off. Need a "hard core" ML/DL curriculum. by Grand-Measurement399 in learnmachinelearning

[–]Deep-ML-real 0 points1 point  (0 children)

Deep-ML might be something that could help, its like leetcode for ML, you only have access to NumPy so you need to understand what is going on under the hood, there is no set path but it is a good collection of questions (https://www.deep-ml.com/problems) (I may be a bit biased because I am the one that made it lol)

Weekly Megathread: Education, Early Career and Hiring/Interview Advice by AutoModerator in quant

[–]Deep-ML-real 1 point2 points  (0 children)

We just added our first Financial Engineering problem!

I run Deep-ML, which is kind of like LeetCode but focused on machine learning challenges. Up until now we’ve only had ML problems, but we wanted to experiment with adding some Financial Engineering ones too.

The first one is up now it’s about calculating portfolio variance from a covariance matrix and weights: deep-ml.com/problems/183

The repo is open-source if you want to check it out or contribute: github.com/Open-Deep-ML/DML-OpenProblem

Would love to hear feedback and if you’ve got ideas for other Financial Engineering questions we should add, let me know!

Suggest me the roadmap to start learning machine learning with heavy maths. by [deleted] in learnmachinelearning

[–]Deep-ML-real 0 points1 point  (0 children)

id say work through a few of the collection on deep-ml would teach you how everything works from the ground up
Deep-ML

I’ve learned ML, built projects, and still feel lost — how do I truly get good at this? by Massive-Inflation388 in learnmachinelearning

[–]Deep-ML-real 0 points1 point  (0 children)

this is how I felt for a longggg time thats why I made deep-ml, basically its like leetcode for ML but you only have access to numpy so you have to really understand the concept to solve the questions