On 10/9/19 4:23 AM, prathamesh naik wrote:
> Hi all,
> I want to work on project which can predict kernel process
> crash or even user space process crash (or memory usage spikes) using
> machine learning algorithms. Can someone point me what all data can be
> useful for tuning my
On Wed, Oct 09, 2019 at 04:40:45PM -0700, prathamesh naik wrote:
> Thanks a lot for sharing.
> One of the problem I am facing is not having enough actual data. I can
> create simulated data but it is overfitting my algorithm.
> Second problem is I am not sure what all factors (called features in
Thanks a lot for sharing.
One of the problem I am facing is not having enough actual data. I can
create simulated data but it is overfitting my algorithm.
Second problem is I am not sure what all factors (called features in ML
terms) are useful for pattern creation.
Some of the factors I could
On Wed, 09 Oct 2019 01:23:28 -0700, prathamesh naik said:
> I want to work on project which can predict kernel process
> crash or even user space process crash (or memory usage spikes) using
> machine learning algorithms.
This sounds like it's isomorphic to the Turing Halting
Hi all,
I want to work on project which can predict kernel process
crash or even user space process crash (or memory usage spikes) using
machine learning algorithms. Can someone point me what all data can be
useful for tuning my algorithm ? is there already paper on this (could not
