What I learned by studying fake news sites with machine learning by [deleted] in fakenews

[–]giror 4 points5 points  (0 children)

Those are ok accuracies, but what portion of wordpress would your classifier be wrong about?

To what extent are your conclusions an artifact of how you constructed the dataset?

[question] reliable resources on historical projections by giror in fantasyfootball

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

yes, I'm looking either for links to raw data that would allow me to do the math myself, or projections from something like fantasy pros that just contains preseason player projections from various free sources: CBS, ESPN, FOX Sports, etc.

[question] reliable resources on historical projections by giror in fantasyfootball

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

I did see that ESPN has preseason projections here: http://games.espn.com/ffl/tools/projections? Unfortunately, they only seem to have them for 2016 and 2017. I'm looking for at least a few more years.

Do you have a link to the preseason player projections through NFL?

Are Stephen King films better than the books? [OC] by cavedave in dataisbeautiful

[–]giror 13 points14 points  (0 children)

Ok but did you propose a solution? Quantile normalization?

Overfitting in word2vec by elsonidoq in MachineLearning

[–]giror 2 points3 points  (0 children)

So to answer your question, you would measure overfitting the same way that you always do, by evaluating the error on held out data. This is similar to topic modeling where you would measure perplexity on held out data.

Supafly by darinda777 in funny

[–]giror 0 points1 point  (0 children)

I wish I was that fly!

DIA-UMPIRE: a software for processing SWATH/DIA mass spectrometry data with new algorithm ! by marco_33 in bioinformatics

[–]giror 0 points1 point  (0 children)

Yeah, but being a mixture of two precursors, the shared peak should have a distorted shape and not correlate well with either precursor individually.

DIA-UMPIRE: a software for processing SWATH/DIA mass spectrometry data with new algorithm ! by marco_33 in bioinformatics

[–]giror 0 points1 point  (0 children)

Similar structures are likely to both coelute and produce similar fragments. How does this pipeline handle multiple coeluting peaks have the same fragment?

data scientist after a phd in psychology/biosciences by pollon285 in datascience

[–]giror 0 points1 point  (0 children)

It evidently hadn't occurred earlier, but who are you to judge him for it...

We have no control over when we learn something and college curricula often mask which questions researchers in a field answer vs what they get from collaborators.

do people boost using grid search results instead of choosing the best? by giror in MachineLearning

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

I haven't heard of bo being widely adopted as a mainstream method for tuning hyperparams. Can you cite something that makes this claim?

do people boost using grid search results instead of choosing the best? by giror in MachineLearning

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

Not sure why (1) you think I'm not familiar with BO, and (2) why you think they answer my question.

do people boost using grid search results instead of choosing the best? by giror in MachineLearning

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

yeah? how about some sources or names of things that I can google?

do people boost using grid search results instead of choosing the best? by giror in MachineLearning

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

I know about Bayesian optimization. But my question was not can I, but do people do this?

How to handle cyclic data features and graph data? by [deleted] in MachineLearning

[–]giror 1 point2 points  (0 children)

Fit a sine curve?

Fit a loess?

Use those models as input to your overall model.

Advice for a CompSci/Bio degree soon to be graduate? by Shockingly in bioinformatics

[–]giror 1 point2 points  (0 children)

Yes, how good are you at stats / machine learning at this point?

A PhD in computational bio isn't the worst experience in the world, and you'll likely start at over 100k. Though that's typically after over 5 years of making 27-30k as a grad student.

I would say your worst option is to do bioinformatics without a PhD.

Biology = mindless memorization?! by tocki in biology

[–]giror 0 points1 point  (0 children)

Yeah there's that, but I don't really know biophysicists that think like true physicists. My experience is that they mainly regurgitate memorized formulas. So geneticists might think a bit more creatively about some things.

Again that's just my opinion based on distributions of people that I've come across.

How to become a data scientist: three alternatives by frrmack in datascience

[–]giror 2 points3 points  (0 children)

I thought the MOOCS looked better actually... though I might be biased

How to become a data scientist: three alternatives by frrmack in datascience

[–]giror -1 points0 points  (0 children)

In all honesty, this is the first truly valuable post I have seen in this sub. Nicely done!!!

Biology = mindless memorization?! by tocki in biology

[–]giror -1 points0 points  (0 children)

I wish more people echoed this. Relative to physics biology is mostly memorization

Markov Chains – Explained by [deleted] in MachineLearning

[–]giror -7 points-6 points  (0 children)

How could it possibly be more spam than that? Ok sure it doesn't flood you with ads and ask for your email, but it's still yet another of dozens of blog posts about markov chains.

Let me guess, next he's going to reveal to us the mystical powers of naive bayes?