Today Joseph and Mary would have to pass through 15 checkpoints to get from Nazareth to Bethlehem. - MAP
/r/MapPorn
https://redd.it/100j9p4
PyTorch discloses malicious dependency chain compromise
https://www.bleepingcomputer.com/news/security/pytorch-discloses-malicious-dependency-chain-compromise-over-holidays/
/r/datascience
https://redd.it/100o1a3
How can you become a senior data scientist if there are no jobs for juniors
hello, i graduate soon with a computer engineering degree and im checking the specializations with the highest paying salaries (mainly in the uae,ksa and mea) and i stumbled upon data science but as i've read more and more it seems that there are almost no junior level jobs but a lot of senior level jobs, but how does that make any sense if i cant get a junior level job how can i become a senior? unless im mistaken dont u need years of experience to become a senior? and before anyone tells me i understand that i shouldn't choose a career based on money alone but i legit have 0 passion and i love nothing in the workfield atm so this is the most objective thing i can think of and i meant an msc in ds.
/r/datascience
https://redd.it/100ponn
D Data cleaning techniques for PDF documents with semantically meaningful parts
I am seeking insights and best practices for data preprocessing and cleaning in PDF documents. I am interested in extracting only the body text content from a PDF and discarding everything else, such as page numbers, footnotes, headers, and footers (see attached image for an example of semantically meaningful sections).
I have noticed that in Microsoft Word, a user can simply drag in a PDF and Word seems to automatically understand which parts are headers, footnotes, etc. I am speculating that Word may be utilizing machine learning techniques to analyze the layout and formatting of the PDF and classify different sections accordingly. Alternatively, Word may be utilizing pre-defined rules or patterns to identify common elements such as headers and footnotes. I know of related techniques for example to extract layout information from receipts and the like (LayoutLM, Xu et al., https://arxiv.org/abs/1912.13318) and tabular data (TableNet, Paliwal et al., https://ieeexplore.ieee.org/document/8978013), but nothing to solve layout extraction in this particular domain.
I am curious to know if there are any techniques or algorithms that can replicate this behavior in Word. Any suggestions or recommendations for data cleaning in PDF documents, would be greatly appreciated.
Image of PDF with semantically meaningful sections
/r/MachineLearning
https://redd.it/100rbhp
Animated version of the bowtiscate from my previous post
/r/mathpics
https://redd.it/yxw6h9
A Spherical triangle and a Cardioid on a surface of a unit Sphere
https://youtu.be/bwPWsahg-cs
/r/mathpics
https://redd.it/zbpwg9
Truncated Octahedron 3D model I made from scratch (explanation in a comment)
/r/mathpics
https://redd.it/zuljxi
[OC] Average IMDB rating of US feature films. Has the quality gone down?
/r/dataisbeautiful
https://redd.it/100lknx
Dataset for football (soccer) line-ups
Does anyone know if there's a free database with the line-ups from the premier league/top 5 league competitions post-2016? I saw there was an old post with one but that database is old/discontinued. I have tried to use some betting UIs but I don't get how to use them. Alternatively, I can manually collect or try to scrape the data but I'm not too experienced with coding so any tips would be massively appreciated!
/r/datasets
https://redd.it/zz0y1j
Let's share some resources to improve out soft-skills
The beginning of the new year is a great time to learn something new (or to improve your knowledge). Soft skills are extremely important to our career, so I suggest sharing some resources (books, courses, blogposts, etc) to improve them.
Some links from me:
* [https://www.howtodeal.dev/](https://www.howtodeal.dev/) Any large project has a lot of people in different positions working on it. This website gives a broad categorization of them and gives suggestions on how to deal with them;
* [https://www.eviltester.com/post/online-presentation-speaking-tips/](https://www.eviltester.com/post/online-presentation-speaking-tips/) \- suggestions on how to make great online presentations (especially actual in post-COVID world)
* [https://eleganthack.com/presenting-is-performance/](https://eleganthack.com/presenting-is-performance/) \- general advice on making awesome presentations
/r/datascience
https://redd.it/100eea9
My frustrating year of applying to internships (you won't believe what happens at the end!)
/r/datascience
https://redd.it/100adix
[N] Compromised PyTorch-nightly dependency
https://pytorch.org/blog/compromised-nightly-dependency/
/r/MachineLearning
https://redd.it/100amit
A slightly modified version of my primality checking algorithm plotted over polar coordinates.
/r/mathpics
https://redd.it/xaij03
Base 3, diagonal elementary CA, made in MS Excel and colorized with Photoshop. I wanna get into making prints. (LIC)
/r/mathpics
https://redd.it/z36z3w
XVII Circulo circum consumitur | 03-10-19 | by Xponentialdesign
/r/mathpics
https://redd.it/zu37xr
Please suggest some cool mathematical models that I can 3d print.
I will be getting a 3d printer in the near future. What are some cool and crazy mathematical models that I could print. Link to an .stl file will be great, but I am also looking forward to creating my own models so links to formulas and pictures also appreciated.
I am going to start with platonic solids (nested wireframes maybe), fractal solids (Sierpiński pyramid, mandelbulb), Gömböc, Klein bottle, slide rule etc. But I am looking for more ideas.
Editing to add more ideas: solids of constant width, sphericons
/r/mathpics
https://redd.it/zw64c4
[OC] Most Popular Movie Genre Combinations up to 2023
/r/dataisbeautiful
https://redd.it/100il3k
Manhattan Neighborhoods by Number of Trees (excluding Central Park) [OC]
/r/dataisbeautiful
https://redd.it/100fkei
Recommendations for measure theory/measure theoretic probability books Q
Hi, I’m an undergrad intending on pursuing a PhD in stats. Background of real analysis at the level of Stephen abbot understanding analysis and baby rudin. What’s a good book on measure theoretic probability or measure theory which could be a good taste of something I’d see in a phd program in statistics?
/r/statistics
https://redd.it/zzfi85