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.
Learn moreHas discount |
![]() |
||
---|---|---|---|
Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Tue Jun 2022 | ||
Level |
|
||
Total lectures | 10 | ||
Total quizzes | 0 | ||
Total duration | 16:32:23 Hours | ||
Total enrolment |
![]() |
||
Number of reviews | 0 | ||
Avg rating |
|
||
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. | ||
Outcomes |
|
||
Requirements |
|