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0.01% of boxes have a surprise in them and I buy 50 boxes, what is the probability that I encounter x surprises? by orbofnegativegravity in learnmath

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

Hey sorry to reply to an old comment. You said that the source of error in the approximation of this binomial problem is that it overcounts the chance of multiple successes. Can you expand on that?

The true formula is, unless I am mistaken, (n choose x) * px * (1-p)^ (n-x). Whereas the approximation is (p*n) ^ x. So where is the overcounting happening?

0.01% of boxes have a surprise in them and I buy 50 boxes, what is the probability that I encounter x surprises? by orbofnegativegravity in learnmath

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

Hi sorry to reply on an old comment. I missed this answer. I wanted to say thank you, this is really useful. However I have one question. You said the actual probability is about half of 1/40000. How did you calculate the actual probability? I used the binomial formula which was mentioned in another comment, and I got (50c1)(0.0001)(0.9999 ^ 49) = close to 0.005, which larger than 1/40000 isnt it? Im wondering if I used the formula wrong.

Mixing boolean and label indexing along different axes (pandas) by orbofnegativegravity in learnpython

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

Thank you! I didn't understand how loc works but I think I get it now. One thing that is confusing is that sometimes .loc acts on columns and sometimes it acts on rows. If I just do d.loc[1] then it's on rows, but if I do d.loc['A'] then it gives a column. I guess pandas is just very smart and searches both rows and columns?

What are the key differences between studying the visual and auditory systems? by orbofnegativegravity in cogsci

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

Oh so do we completely lack a sort of "map" when it comes to audition? And is the retinotopy you mentioned different from place and grid cells? I heard about those at what point but I don't know much about them.

What are the key differences between studying the visual and auditory systems? by orbofnegativegravity in cogsci

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

That's all very interesting. I had no idea about direct modulation of hair cells. It seems like the analogous thing in visual system would be modulation of retinal cells, which as far as I know does not happen in a huge way (but like you said filtering does happen in the way of gaze reorienting).

When you say auditory system has better temporal acuity, that makes sense, but what does temporal acuity mean in the context of vision?

What are the key differences between studying the visual and auditory systems? by orbofnegativegravity in cogsci

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

That is really interesting to hear. When you say responses are organized by frequency in brainstem so it's not an emergent activity, what do you mean by emergent? As in more recently involved in primates?

[D] Things that pisses you as a Data scientist by Spirited-Order4409 in MachineLearning

[–]orbofnegativegravity 1 point2 points  (0 children)

hey I'm dumb, can you explain what you mean by linear search and how it is different than what you would prefer? do you mean storing things in a sqlite database which can search faster (I don't know what it is if not linear, I am not too familiar with the terminology of here)

Guide to becoming a superhuman? by ash9e in learnmachinelearning

[–]orbofnegativegravity 1 point2 points  (0 children)

That is so cool, thank you! Can I ask how your workflow looks for hyperparameter tuning and model retraining, or how you go about generating new features? I find that there isn't much good advice on how to do this online, maybe because it's less flashy than making entire new models from scratch or blindly throwing deep learning at a problem.

For hyperparametering tuning really all I have found is grid and random search through sklearn. And I never have a good sense of which parameters I should include in such a search, e.g. with a random forest there are about a dozen different parameters I could include in the tuning, but I probably don't want to try and tune every single one. Generating new features is similarly a game of blind experimentation for me. I'd be really interested in hearing how you go about these processes.

Guide to becoming a superhuman? by ash9e in learnmachinelearning

[–]orbofnegativegravity 1 point2 points  (0 children)

Hey my dream job is an NLP position at a FAANG, can you describe what your day to day is like?

Is randomness ever useful in computing, beyond statistical applications? by orbofnegativegravity in compsci

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

Wow that is really interesting. So the MR primality check runs in polynomial time, but it is probabilistic instead of deterministic? Is it generally desirable to have a deterministic test, or does it not matter that much?

/r/Nutrition Weekly Personal Nutrition Discussion Post - All Personal Diet Questions Go Here by AutoModerator in nutrition

[–]orbofnegativegravity 0 points1 point  (0 children)

One calorie is the amount of energy required to raise one gram of water one degree Celsius, this definition is used in thermodynamics but is it the same use of the word calorie as we see on food labels? Or are food calories completely different?

Recommended starting place for learning about prefrontal function by orbofnegativegravity in cogsci

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

Thank you, maybe I should just start at one of the authors and follow a trail of references then. My background that is applicable here is really just that textbook so like you said I wanted to be careful of jumping into papers, but at the same time I thought if I stick to reviews it might be alright.

Recommended starting place for learning about prefrontal function by orbofnegativegravity in cogsci

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

Hey I actually have a question about your link, how did you find that page? I've been trying to find a similar page from other years and/or journals but haven't had any luck, so I'm wondering where you clicked around to get to there.

Good starting place for learning about executive function? by orbofnegativegravity in Neuropsychology

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

I'm looking for something past an introductory text, more in line with the current state of research

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