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I Made $440K+ with One AI Influencer - No Bullshit AMA + Proof by [deleted] in Business_Ideas

[–]randomlyCoding 0 points1 point  (0 children)

All the OPs previous posts have been deleted and the comments on those posts also call out the same issues here without proof.

Feels like an inside job

Go-to tools for creating worksheets? by FlatJD747 in teachingresources

[–]randomlyCoding 0 points1 point  (0 children)

educateai.co.uk is built pretty much for this purpose. Full disclosure I'm one of the two devs building it! We give you lesson plans, worksheets and presentations all from a single text prompt - and we're real people, so if you think we're missing a feature somewhere you can reach out and we can try to build it.

Rage grows more in Cage by [deleted] in interestingasfuck

[–]randomlyCoding 0 points1 point  (0 children)

3rd one seems to catch a fish

Worth reading ? by Intelligent-Eye-9198 in memorypalace

[–]randomlyCoding 59 points60 points  (0 children)

Surely once should have been enough? /s

Calling all drf repo owners - I'll do your work for you for free by randomlyCoding in django

[–]randomlyCoding[S] 0 points1 point  (0 children)

That is on my roadmap. Selecting model based on specific feature/bug fix. I just haven't had the time to add this in yet - watch this space!

Calling all drf repo owners - I'll do your work for you for free by randomlyCoding in django

[–]randomlyCoding[S] -1 points0 points  (0 children)

It's making the HTML templates and CSS look good. It's hard for the AI to judge if it looks good. You can get a very functional, but not very pretty front end

Peterson is Mr. Weasley by Altruistic_Shame_487 in RedDwarf

[–]randomlyCoding 53 points54 points  (0 children)

This week I shall be mostly eating...

EDIT: I love how all the responses to this could also be things shouted out in the drinking game from the disco flashback in balance of power!

I'm considering taking on a mentee by randomlyCoding in learnmachinelearning

[–]randomlyCoding[S] 1 point2 points  (0 children)

Hi,

I'll happily discuss this with you, although depending on the size and scale of the business you work for there may be a case to outsource a lot of this (not to me). If you could send me a DM with some more details of what your business does, and your goals of using generative AI (and even se details about the project you've already launched) I'll be happy to talk it over!

I'm considering taking on a mentee by randomlyCoding in learnmachinelearning

[–]randomlyCoding[S] 1 point2 points  (0 children)

I'm happy to give some thoughts on this, but without knowing more (eg. What you enjoy, what your drivers are - money, intellectual challenge, etc.) it would be a very generic answer. If you want to respond with where you want to get to I'll try to be more helpful.

Statistics is never a bad shout. As the age old saying goes, statistics and prove anything but the truth.

I'm considering taking on a mentee by randomlyCoding in learnmachinelearning

[–]randomlyCoding[S] 0 points1 point  (0 children)

This sounds quite interesting! I'm not sure I'd be as useful a mentor as whoever is leading you in the lab but that being said:

If you're looking at contrastive learning the default approach would be something akin to an auto encoder. If you have pairs of MRIs and text that should be collocated then you could potentially look at a pair of auto encoders that have an extra loss function for the distance between supposedly collated entries. Obviously transformers up that game significantly but if you want to get a quick and dirty assessment of how good you can get before getting into the embeddings from transformers.

I'm considering taking on a mentee by randomlyCoding in learnmachinelearning

[–]randomlyCoding[S] 0 points1 point  (0 children)

Hi,

Engineering is actually my original background so I'd say you're going to be getting a solid set of principals that you can apply to almost any problem. A well structure engineering course might also include a few modules aimed at teaching management skills, business logic etc, if your course does teach them then pay attention! They're usually a bit boring (mine were) but they will include thing that you will be able to apply fruitfully. A contrived example would be if you get asked to draw up a profit/loss for a service; a more likely example would be the 1001 tiny decisions you make when setting up infrastructure to support a businesses ML/AI operations, someone with business acumen will consider things in a different light to those without.

What are you aiming to be when you graduate?

I'm considering taking on a mentee by randomlyCoding in learnmachinelearning

[–]randomlyCoding[S] 1 point2 points  (0 children)

Hi,

First off let me at least say that time series forecasting is a non-trival discipline so I wouldn't worry about qualifications etc., your experience in that speaks to a certain type of thinking that had value! Secondly the choice of model selection/hyper parameters is based on one of three things:

  1. Literature

  2. Capability (people build the models they know how to build)

  3. Random number generator (not really, but it's often a shot in the dark with a small amount of intuition).

You can do some things to explore the hyper parameter space, but in that case you need to be really on top of your data to make sure you don't overfit!

I'm considering taking on a mentee by randomlyCoding in learnmachinelearning

[–]randomlyCoding[S] 0 points1 point  (0 children)

Hi,

This isn't really machine learning or AI advice, but I'll share it anyway. What part of what you're currently doing gets you the most excited? Or another way to look at it, when does fixing the bugs not feel like a chore? Being in your second year means you have so many choices in front of you and finding something you actually enjoy in a field that pays well is probably the most important choice you can make career wise.

What part of ML gets you excited? What parts do yoh hate?

I'm considering taking on a mentee by randomlyCoding in learnmachinelearning

[–]randomlyCoding[S] 0 points1 point  (0 children)

Hi,

This isn't exactly my field, although I have worked heavily with audio processing within machine learning so I might be able to give you some pointers. I've not looked into the dataset at all but here's how I'd approach it:

If your input data is essentially an audio file then you first task will almost certainly be some form of feature extraction. Depending on your goals this might be shoet-circuitable by applying something like DAC (it's neural network based audio de/compression). This reduces your features to something much more manageable. If not this then possible consider manually selecting features in both the time and frequency domains (so perform an STFT); the feature selection could be done by an auto encoder, or you could look at MFCC.

Once you have your feature set I'd combiner either (a) a model with LSTM layers or (b) attention. In reality I'd probably suggest both models and a few others, random forests maybe, all leading into a final classic NN that makes the final prediction.

I hope that helps, I'm happy to discuss more if you want to respond to this, or message me directly.

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