- ML-foundations VS 2D-Gaussian-Splatting
- ML-foundations VS Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
- ML-foundations VS wordlescraper
- ML-foundations VS the-elements-of-statistical-learning
- ML-foundations VS ITC
- ML-foundations VS algorithmica
- ML-foundations VS Reinforcement_Learning
- ML-foundations VS intel-processors
- ML-foundations VS linear-regression-from-scratch
- ML-foundations VS the-cult-of-integral
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ML-foundations reviews and mentions
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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
Stats
jonkrohn/ML-foundations is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of ML-foundations is Jupyter Notebook.
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