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Hot data science related posts every hour. Chat: https://telegram.me/r_channels Contacts: @lgyanf
Were there too many sensations in the group-stage games at the FIFA World Cup in Qatar? What if I bet the same amount against the odds in all the group-stage games? WOW – I would have finished the experiment with a net profit of almost 48 coins! [OC]
/r/dataisbeautiful
https://redd.it/zbfu8j
Top 10 Highest and Lowest crime rate countries
/r/Infographics
https://redd.it/zbh723
The Public's Perceptions on the Metaverse (All Welcome)
Hi! Firstly, this is an alt account, sorry about that, just felt it'd be better to focus my research stuff on a separate account. I'm an integrated masters student on their second dissertation!
Anyway, I'm currently conducting a survey on metaverse perceptions, asking the general public what they think about the concept and specific aspects of its design. Whether you love or loathe the idea, or have no idea what a metaverse is, I'd love to hear what you think in this survey, should take no more than 20 minutes depending on how much you have to say. Thank you to anyone who responds in advance, and any questions, feel free to reply and let me know, cheers!
https://bathpsychology.eu.qualtrics.com/jfe/form/SV\_3CP6skhtcG8cCtU
/r/SampleSize
https://redd.it/zbg4zc
Using particle flow to visualize a velocity field (and an interesting case)
/r/visualization
https://redd.it/z9algv
% of young adults with a university degree [OC]
/r/dataisbeautiful
https://redd.it/zbgsvs
[OC] 3d rendered map of Mauna Loa showing lava flow rates
/r/dataisbeautiful
https://redd.it/zaha51
Feral Swine Pop. 2021
/r/MapPorn
https://redd.it/zb38rh
Quadratic rational maps with a critical 2-cycle and a marked point of preperiod 2 and period 1, colored by dynamics of free critical point
/r/mathpics
https://redd.it/z38jnd
Map of corn on the cob street vendors in Mexico City.
I found this dataset. It can me exported to KML to parse and analyse. It's the crowdsourced geolocation of every corn on the cob street vendor in Mexico City.
I dare y'all to train a neural network on it!
/r/datasets
https://redd.it/zb2c1o
[OC] The Easiest Words to Rhyme
/r/dataisbeautiful
https://redd.it/zb2xjg
I find a graphs ability to compare data is hugely overrated.
/r/dataisugly
https://redd.it/zalyho
[OC] Time spent online has hit a ceiling, though varies widely by country
/r/visualization
https://redd.it/zap1mw
[OC] The US and Saudi Arabia TOPS ticket sales (other than the host country)
/r/dataisbeautiful
https://redd.it/zah2uf
R Statistical vs Deep Learning forecasting methods
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https://preview.redd.it/c59sra8nwb3a1.png?width=1190&format=png&auto=webp&s=80b3f1a83d190ac0349ec97908aa806aaa03abc3
Machine learning progress is plagued by the conflict between competing ideas, with no shortage of failed reviews, underdelivering models, and failed investments in expensive over-engineered solutions.
We don't subscribe the Deep Learning hype for time series and present a fully reproducible experiment that shows that:
1. A simple statistical ensemble outperforms most individual deep-learning models.
2. A simple statistical ensemble is 25,000 faster and only slightly less accurate than an ensemble of deep learning models.
In other words, deep-learning ensembles outperform statistical ensembles just by 0.36 points in SMAPE. However, the DL ensemble takes more than 14 days to run and costs around USD 11,000, while the statistical ensemble takes 6 minutes to run and costs $0.5c.
For the 3,003 series of M3, these are the results.
https://preview.redd.it/89bhlcg9wb3a1.png?width=1678&format=png&auto=webp&s=e5471331b081142ba201b81ba3346a890d474c50
In conclusion: in terms of speed, costs, simplicity and interpretability, deep learning is far behind the simple statistical ensemble. In terms of accuracy, they are rather close.
You can read the full report and reproduce the experiments in this Github repo: https://github.com/Nixtla/statsforecast/tree/main/experiments/m3
/r/MachineLearning
https://redd.it/z9vbw7
The Mandelbrot set on parametric surfaces
https://redd.it/z32528
@datascientology
[OC] Mexico has been in a water crisis for at least 20 years
/r/dataisbeautiful
https://redd.it/zbso2i
Beavers in Europe, 1900 and 2021
/r/MapPorn
https://redd.it/zbibit
Topography of Scotland. This map shows 10m contour lines for Scotland [OC]
/r/dataisbeautiful
https://redd.it/zbj9f5
[OC] Lichess.org traffic during Football World Cup 2022 [UPDATED]
/r/dataisbeautiful
https://redd.it/zbfuq4
Every Song With Over 1 Billion Spotify Streams
/r/visualization
https://redd.it/zbb2l7
[OC] Results of 50,000 World Cup Knockout Simulations
/r/dataisbeautiful
https://redd.it/zb03xc
50% of Estonia lives north/south of this line
/r/MapPorn
https://redd.it/zarbtn
[OC] World Cup Group E table as the evening (1st Dec) progressed. All teams qualified for the knockout stage at one point.
/r/dataisbeautiful
https://redd.it/zank97
I need help dating my map
https://redd.it/zatutz
@datascientology
When did women get the right to vote in Europe? (Lover of Geography)
/r/MapPorn
https://redd.it/zak0zm
The news and countries the mainstream media overlooked this week, with map
/r/Infographics
https://redd.it/z9s50p
[OC] Birth months of FIFA World Cup players. The top three are January, February and March, possibly due to the "Relative age effect"
/r/dataisbeautiful
https://redd.it/zalnny
True tho
/r/datascience
https://redd.it/z9s1rv
Weekly Entering & Transitioning - Thread 28 Nov, 2022 - 05 Dec, 2022
Welcome to this week's entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data science field. Topics include:
* Learning resources (e.g. books, tutorials, videos)
* Traditional education (e.g. schools, degrees, electives)
* Alternative education (e.g. online courses, bootcamps)
* Job search questions (e.g. resumes, applying, career prospects)
* Elementary questions (e.g. where to start, what next)
While you wait for answers from the community, check out the [FAQ](https://www.reddit.com/r/datascience/wiki/frequently-asked-questions) and Resources pages on our wiki. You can also search for answers in [past weekly threads](https://www.reddit.com/r/datascience/search?q=weekly%20thread&restrict_sr=1&sort=new).
/r/datascience
https://redd.it/z6ncq2
Map of the world’s most and least racially tolerant countries [1248 x 617]
/r/MapPorn
https://redd.it/za74ta
