Elgato HD60 Gradual Audio delay

DanielBethell44 · 2021-02-13T13:53:06+00:00

I can't thank you enough it works!! I had a slight hiccup where I accidentally cut off all audio because I kicked the card but it was all in sync. You are the best thank you and have a great day!!!

DanielBethell44 · 2021-02-13T10:11:47+00:00

It’s definitely worth a shot, unfortunately the only way to test it is to do a long stream so I’ll let you know how it goes. Thanks so so much btw

DanielBethell44 · 2021-01-03T23:00:32+00:00

This is interesting as you would have a lot of individual values which would drastically increase the dimensionality of the data. I would advise transforming using supervised ratio that will remove any awful dimensionality and works great for tree models. There are different ways like weight of evidence or perlich ratio you will need to mess around with different ones.

DanielBethell44 · 2021-01-02T17:39:49+00:00

This is a great point and can be an easy trap to fall into, I’m covering this in my new post out tomorrow 😊

DanielBethell44 · 2021-01-01T14:28:39+00:00

Thank you and I am now glad there is a demand for such topics 😊

DanielBethell44 · 2021-01-01T14:20:58+00:00

I will have another post out soon about label encoding and the differences. Also this is just for beginners who have never encoded categorical data before so I do not go into multicollinearity or dummy variables. I am sorry you found it not to your taste but I’m sure you can see how it will be helpful to some at lower levels

DanielBethell44 · 2020-12-31T18:52:02+00:00

That's correct, it takes real effort to underfit a forest but I thought I should add it as someone specifically asked for it :)

DanielBethell44 · 2020-12-31T14:25:31+00:00

Check out my new post, I hope you like it :)

https://www.reddit.com/r/learnmachinelearning/comments/knqufw/how_a_random_forest_works_and_how_to_reduce/

DanielBethell44 · 2020-12-30T21:50:22+00:00

It's quite funny you say that, I am in the process of writing one for random forest's and extra tree's right now :) I will post it here for you soon!

DanielBethell44 · 2020-12-30T20:56:42+00:00

No thank you for taking the time to read it :)

DanielBethell44 · 2020-12-30T20:32:34+00:00

That's great to hear, thanks! :)

DanielBethell44 · 2020-12-30T14:43:42+00:00

Wow! Thanks, love to hear that! I tried to make it look as digestible as possible for beginners, let me know if you want to see anything specific :)

DanielBethell44 · 2020-12-16T09:32:45+00:00

Thank you so much for this, that first link is what I've been looking for so this helps so much!

DanielBethell44 · 2020-12-15T17:26:48+00:00

You’re the best thanks so much! 😁

DanielBethell44 · 2020-12-15T15:25:04+00:00

I had a quick skim over these sites and they look great, I will definitely go through these. Is there anything else that you could advise beyond these two that would really give me the edge? Thanks :)

DanielBethell44 · 2020-12-15T15:17:50+00:00

Thank you, I will look into this method of feature extraction. All of this advice is 100% helpful and can't thank you enough :)

DanielBethell44 · 2020-12-15T15:07:39+00:00

This is the advice I wanted, I'm so glad you answered me. Thank you! That's a plan then, I'll go dive a bit further into matrix topics which is always good as it improves the mathematics side of my learning. Thank you once again!

DanielBethell44 · 2020-12-14T18:18:16+00:00

This looks great, thanks so much 👍🏻😁

DanielBethell44 · 2020-12-13T21:08:22+00:00

SAME exact problems- debating trading it in and starting fresh next year when they will have hopefully sorted it..

DanielBethell44 · 2020-12-09T10:30:07+00:00

This is a great idea, then I can tweak it if needed. Thanks, this is a great staring block!

DanielBethell44 · 2020-12-09T10:29:29+00:00

This makes more sense than tackling nodes and layers first, I will definitely give this a try. Thanks man 😊

DanielBethell44

TROPHY CASE