algorithmica
ML-foundations
algorithmica | ML-foundations | |
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1 | 1 | |
3,075 | 2,984 | |
3.0% | - | |
0.0 | 5.4 | |
5 days ago | 20 days ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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algorithmica
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For variables should I use the smallest type possible?
If you're interested in performance oriented programming, check out Algorithmica. It's a free online book that treats this topic in-depth.
ML-foundations
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Worried about Calculus
As others have said, you won't need calculus immediately, but it's important that you make a good attempt at learning up to Calc3. I also didn't have a math heavy undergrad so it took a lot of self-study for me, but it's possible. Simulation has a great math boot camp at the beginning to review everything but you'll want to be prepped with Calc before that because that class is all calculus based probability. Some other good resources are the 3Blue1Brown videos on YouTube. They have a great series for both calc & linear algebra to talk through all the intuition with visuals. I also really like John Krohns series because you code through the math which is very applicable for us in this program. I only did his linear Algebra, but he has a whole series with Calc and probability, too. https://github.com/jonkrohn/ML-foundations
What are some alternatives?
ITC - Computer Science coursework and projects at Tec de Monterrey 👨🎓
2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
Computer-Science-Resources - This repository aims at providing the best resources for computer science students at one place. So they don't have to waste their precious time finding good resources.
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
wordlescraper - Combine wordle statistics metrics from various locations, data science to correlate scores with words, and a front end to display the results.
the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Reinforcement_Learning - RL Algorithms with examples in Python / Pytorch / Unity ML agents
intel-processors - Datasets for All Processors Maufactured By Intel
linear-regression-from-scratch - A data science project for part II physics project E (surveying using stars)
the-cult-of-integral - The Cult of Integral is a cult dedicated to the creation of original copypasta, that is both high in quality and dedicated to the community of r/copypasta. [Moved to: https://github.com/the-cult-of-integral/the-cult-of-integral]
collatz-conjecture - A calculator as Jupyter Lab notebook for Collatz Conjecture or commonly known as 3x+1 problem.