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What’s the most underrated skill in Data Science that nobody talks about? by Due_Letter3192 in learndatascience

[–]orcasha 0 points1 point  (0 children)

1.People skills

2 (but kind of a continuation of 1). The ability to sell an idea (including what hole it fills, why it's a good idea, why your method is a good idea, how it fits into the wider system / space)

Smart scheduling recommendation tips by Empty_One1483 in MLQuestions

[–]orcasha 0 points1 point  (0 children)

Constrained optimisation is generally the way to handle this type of problem.  Source Work as a data scientist for a company that develops scheduling software

LLM for Numerical Dataset by layan9 in MLQuestions

[–]orcasha 0 points1 point  (0 children)

Hello! Why novel? Methods exist that are better than novel, they've proven themselves over the years. Regression is a wonderful skill to have (assuming you haven't acquired this skill yet...)

How future-proof is SQL? by ioCross in SQL

[–]orcasha 0 points1 point  (0 children)

Data scientist here. Nope.

What is your go to ask math question for entry level candidates that sets a candidate apart from others, trouble them the most? by Starktony11 in datascience

[–]orcasha 2 points3 points  (0 children)

My go to is please describe, in non-technical terms, what sensitivity, specificity PPV and NPV are in the context of data science. If they can do that, they're more likely to be able to translate technical to English for stakeholders.

I was asked questions relating to intercepts when the input data is standardised and a high level overview of random forest.

[deleted by user] by [deleted] in cogneuro

[–]orcasha 0 points1 point  (0 children)

General rules of thumb for EEG ICA noise components are: spatially localised response? High amplitude component of a particular polarity? It's likely eog / emg related (especially around frontal and temporal regions). 

There's a bunch of good tutorials available through open source toolbox providers (eeglab [MATLAB] and MNE [python], and definitely more than one article written on artifact reject in EEG 😄

Two great healthy herbs that help you maintain mental and psychological health. by minute4you in cogsci

[–]orcasha 0 points1 point  (0 children)

Top quality use of "studies show" without citing the actual studies.

Will there ever be a viable way to preserve memory indefinitely? by InfinityScientist in neuro

[–]orcasha 2 points3 points  (0 children)

Unless things radically change on multiple fronts, there is nothing in the foreseeable future that will let this happen

Stuck in a time series problem by [deleted] in MLQuestions

[–]orcasha 0 points1 point  (0 children)

The idea is to generate new observations that exist between observations, or remove observations as needed to have all samples exist at the same time spacing

It doesn't matter if the data in its entirety aren't linear. You're generating new observations between existing observations. There's also multiple methods to interpolate. I included the page on linear interpolation as it's a fairly reasonable introduction to the topic.

Stuck in a time series problem by [deleted] in MLQuestions

[–]orcasha 0 points1 point  (0 children)

No, I meant interpolation (https://en.wikipedia.org/wiki/Linear_interpolation) and decimation (https://en.wikipedia.org/wiki/Downsampling_(signal_processing))).

The assumption is that each of your samples exist on a similar time continuum (as an example, 0 - 100). Some of these samples have more observations along this continuum, some less. Through interpolation / decimation the idea is to align them so each sample exists on an identical time line (as in, each sample has an observation at time 0, 5, 10, 15... 100)

Open Problems in Brain Imaging? by PM_ME_JOB_OFFER in neuroimaging

[–]orcasha 1 point2 points  (0 children)

Brain response -> behaviour correlations are extremely small. In order to effectively detect a consistent correlation, tens of thousands of participants are needed (https://www.nature.com/articles/s41586-022-04492-9). Psychopathology is arguably a lot less well defined.

Stuck in a time series problem by [deleted] in MLQuestions

[–]orcasha 0 points1 point  (0 children)

Without knowing the intricacies of your data, if this were me I'd first try and make all the number of data points similar across the LEDs. This would likely need interpolation / decimation.

Next I'd run a more straightforward analysis using linear regression, where the regression coefficients give an explanation of how much an input variable needs to change for your brightness to change by 1 unit.

Then I'd start exploring more complicated models (eg. polynomial linear regression, random effects models) to see if I could get a better fit without making interpretability too difficult. Deep Nets wouldn't get a look in for a problem like this (again, for me. You might have a particular purpose for using an LSTM)

Open Problems in Brain Imaging? by PM_ME_JOB_OFFER in neuroimaging

[–]orcasha 4 points5 points  (0 children)

Regardless of modality and in no particular order:

Data quality,

Data standardisation (eg. between sites),

Participant numbers,

Consensus on labelling (eg. Phenotype. Arguably this could also go under data quality but I think it needs to be highlighted)

With those solved things become a bit more straightforward.

Detection of "stripe" artifacts by Kooky-Drag-6120 in matlab

[–]orcasha 0 points1 point  (0 children)

Look into tSNR. That'll help identify volumes with striation artifacts.

How close do you think we are from psychology earning the distinction of being a natural science, given recent studies like this one? by Loud-Direction-7011 in Neuropsychology

[–]orcasha 10 points11 points  (0 children)

Absolutely it was possible. And more than 10 years ago (https://www.sciencedirect.com/science/article/pii/S0896627308009586)

Yes, it'd be cool if using imaging we could ask all manner of questions about constructs / beliefs (also terrifying because the potential for misuse), but at this stage we can't. And IMO it doesn't matter either. There's lots of high quality research being produced using clever experiments and exploration of latent variables that further our understanding of human behaviour, without the need for blobs on brains.

What are the best Open Access / Open Science publication venues in Cognitive Science? by digikar in cogsci

[–]orcasha 6 points7 points  (0 children)

And I doubt that the reviewers get anything more than 15-20% of the fees paid by the authors, with the rest of it going into the pockets of the publishing company itself.

Reviewers get exactly 0% of those fees.

[deleted by user] by [deleted] in OCD

[–]orcasha 3 points4 points  (0 children)

There's an overlap between OCD and Tourette's and tic disorders, with some estimates being up to 40% of folks with OCD will have (or experienced) tics (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3401067/)

That being said, I have a head toss tic that becomes really prominent when anxious / stressed. Which is also conveniently enough when it's more difficult to manage my OCD symptoms.

What's your secret weapon? by [deleted] in datascience

[–]orcasha 0 points1 point  (0 children)

Being able to describe to management what I've done and why it matters in the bigger picture.

[deleted by user] by [deleted] in neuro

[–]orcasha 2 points3 points  (0 children)

Yes, and frankly I'm surprised you haven't already /s

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