Numpy Windowing: Extreme Speed Hack in Python for Machine Learning
Numpy is fast. But when slicing and copying arrays are still too slow, how do you make it even faster? This is a problem that we encountered when doing machine learning in real life. How can you solve this problem when you need to use other Python tools like scikit-learn or keras?
In this video, we will show you the idea behind numpy arrays and what you can do to speed up your computations within the Python ecosystem.
1:48 What is windowing
7:00 Reshaping
10:35 Skips
12:11 Windows
MUSIC
Nimbus by Eveningland
https://www.youtube.com/audiolibrary/...
On this page of the site you can watch the video online Numpy Windowing: Extreme Speed Hack in Python for Machine Learning with a duration of hours minute second in good quality, which was uploaded by the user Software for Science 25 April 2019, share the link with friends and acquaintances, this video has already been watched 1,194 times on youtube and it was liked by 25 viewers. Enjoy your viewing!
