Overview This course is focused on the question: How do we do matrix computations with acceptable speed and acceptable accuracy? The course is taught in Python with Jupyter Notebooks, using libraries such as scikit-learn and numpy for most lessons, as well as numba and pytorch in a few lessons.
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| Expiry period | Lifetime | ||
| Made in | English | ||
| Last updated at | Tue Jun 2022 | ||
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| Total lectures | 10 | ||
| Total quizzes | 0 | ||
| Total duration | 16:32:23 Hours | ||
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| Number of reviews | 0 | ||
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| Short description | Overview This course is focused on the question: How do we do matrix computations with acceptable speed and acceptable accuracy? The course is taught in Python with Jupyter Notebooks, using libraries such as scikit-learn and numpy for most lessons, as well as numba and pytorch in a few lessons. | ||
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