Recent comments in /f/dataisbeautiful
AnonymousButIvekk t1_j968yra wrote
Reply to comment by yourmamaman in [OC] Pie recipes clustered by ingredients by yourmamaman
yeah sorry man, this post is dumb the way its been made. a lot better ways to visualise what you meant
[deleted] t1_j968u21 wrote
Icy_Cut_5572 t1_j968dxd wrote
Reply to [OC] Gendered Movie Favorites: The favorite movies of Letterboxd users broken down by the pronouns they selected for their account by throwbarrieaway
I looked at this for 5 minutes before going wtf is Xe/Ze (no offence)
pencilled_robin t1_j967sb6 wrote
Reply to comment by ThoseThingsAreWeird in [OC] Argentine Redditors "counter-spell" their way to win the world cup by SweetSoursop
It became a bit of a meme, a lot of people use it as an anti-jinx for their team now.
throwbarrieaway OP t1_j967rqd wrote
Reply to comment by Relevated in [OC] Gendered Movie Favorites: The favorite movies of Letterboxd users broken down by the pronouns they selected for their account by throwbarrieaway
See my main comment for more of a breakdown, but it's a venn diagram of the top 100 movies for users with each set of pronouns. Jaws was just on the He list so it goes in the blue section, Moonlight was on the He and She lists so it goes in the purple, and Her was on all three so it goes in the white.
Luckedout_ t1_j967muw wrote
Reply to [OC] Gendered Movie Favorites: The favorite movies of Letterboxd users broken down by the pronouns they selected for their account by throwbarrieaway
So we all agree that Brad Pitt movies are cool, I see 3 in the white circle at first glance.
throwbarrieaway OP t1_j967bkr wrote
Reply to comment by katsumojo in [OC] Gendered Movie Favorites: The favorite movies of Letterboxd users broken down by the pronouns they selected for their account by throwbarrieaway
Fellowship was on all 3 lists, Return of the King was on He and Xe/Ze. They were ranked highest on the He list.
appleparkfive t1_j967bct wrote
Reply to comment by aintnofoolia in [OC] Took a look into Hello Fresh by jakeman8888
One day people in the flyover states are going to have their lives changed when they discover Kimbap/Gimbap.
I mean it's just a sushi roll of bibimbap. And they're so, so good.
appleparkfive t1_j966w19 wrote
Reply to comment by jsvcycling in [OC] Gendered Movie Favorites: The favorite movies of Letterboxd users broken down by the pronouns they selected for their account by throwbarrieaway
Was thinking the same thing. Really interesting breakdown between the genders
[deleted] t1_j966oir wrote
Reply to comment by MJLDat in [OC] Pie recipes clustered by ingredients by yourmamaman
[removed]
Certerus t1_j966kcg wrote
Reply to comment by ThoseThingsAreWeird in [OC] Argentine Redditors "counter-spell" their way to win the world cup by SweetSoursop
We are unjinxing the 4th WorldCup now
MJLDat t1_j966gwj wrote
Reply to [OC] Pie recipes clustered by ingredients by yourmamaman
Did you use t-SNE for this?
meglandwellmusic t1_j966ax1 wrote
Reply to comment by Li2_lCO3 in [OC] Took a look into Hello Fresh by jakeman8888
I do this with the recipes as well. I measure out a small bit of salt (like 1/8 tsp) and sprinkle a portion of that on when they want me to. That way I am technically salting, but not much.
yourmamaman OP t1_j965qul wrote
Reply to comment by boganvegan in [OC] Pie recipes clustered by ingredients by yourmamaman
They seem to fall into the chicken cluster since the others don't seem the use such different ingredients that they form their own cluster, and there are more chicken pie recipes so that's why it got that label. But thank you, it's questions like these I need.
[deleted] t1_j965meq wrote
crimeo t1_j965i0d wrote
Reply to comment by fREAKNECk716 in [OC] The cost of training AI on ImageNet has decreased from over $1000 to just under $5 in just 4 years by giteam
> No, they preprogrammed how to break down that sentence into individual parts and process each one and how they relate to each other.
If you meant "processing", why did you say "stimuli and responses", neither of which is processing?
Regardless, also no, they almost certainly didn't train it grammar either. Similarly to how you don't teach your 2 year old child sentence diagramming, in most AI like this, it picks it up from examples, not explicit rules.
They did program in basic fundamentals of learning and conditioning though. Much like your human genes programmed into you, since newborn infants already demonstrate reinforcement learning...
jakeman8888 OP t1_j965gpq wrote
Reply to comment by sockowl in [OC] Took a look into Hello Fresh by jakeman8888
I figured as much, I did look at this actually. Hello Fresh is extremely friendly with all the data they provide on their website, you can actually tell if an offer is intended for new users only or not purely based on their api responses.
yourmamaman OP t1_j9658wn wrote
Reply to comment by BujuArena in [OC] Pie recipes clustered by ingredients by yourmamaman
To be honest, I had trouble visualizing this concept, hence the post. The idea was the take 3700 different recipes for pie, but understand how much variation there is in terms of their ingredients.
So the algorithm will cluster recipes that have very similar ingredients and give them one color, and place the cluster in such a manner that clusters with very different ingredients are far away from each other
LinusMendeleev t1_j964yg4 wrote
Reply to comment by yourmamaman in [OC] Pie recipes clustered by ingredients by yourmamaman
No my friend, he is trying to help. It doesn't make sense at all.
jakeman8888 OP t1_j964s4o wrote
Reply to comment by sajde in [OC] Took a look into Hello Fresh by jakeman8888
You can use a standard author license for $9, it’s not as clear of an option but it’s there. Quicksight is good IMO, a little learning curve and maybe not as “visually” inclined as tableau but it’s an option that integrates well with sources and is quick to produce.
sockowl t1_j964lcz wrote
Reply to comment by jakeman8888 in [OC] Took a look into Hello Fresh by jakeman8888
They do track you by credit card number and address, so it can be hard to get a lot of the deals as they're designed for new clients.
katsumojo t1_j964ixq wrote
Reply to [OC] Gendered Movie Favorites: The favorite movies of Letterboxd users broken down by the pronouns they selected for their account by throwbarrieaway
Where TF is LOTR? WHAT AM I?
John_Doe4269 t1_j963geg wrote
Reply to [OC] Gendered Movie Favorites: The favorite movies of Letterboxd users broken down by the pronouns they selected for their account by throwbarrieaway
Shout out to Scarface, Synecdoche, Persona, and Shrek 2 enjoyers. Easily my favourite gender.
boganvegan t1_j963ezc wrote
Reply to [OC] Pie recipes clustered by ingredients by yourmamaman
What about steak, mushroom, pork, chicken, fish, venison etc.?
yourmamaman OP t1_j969p9p wrote
Reply to comment by AnonymousButIvekk in [OC] Pie recipes clustered by ingredients by yourmamaman
For example?