If the Timbers vs San Jose results stand, this has been the worst start (in terms of points earned) in their first 13 regular season games since 2012 where they only earned 13 points.
Right now, Timbers have 12 points going into the match and, if the current 2-0 loss stands, will finish 13 games with 12 points.
Particularly egregious misuse of stats from the Guardian: "Although more than a third of the women in the study had been sexually inactive during the past month, fewer than half expressed dissatisfaction with their sex lives."
Sooo... 1/3 inactive, >1/3 dissatisfied. And yet the article is trying to suggest it's at the other end of the scale by framing it as "fewer than half" and behaving as if it's surprising?
Exciting news for R users! TidyDensity's latest update introduces util_chisquare_param_estimate(), leveraging MLE to estimate Chi-square distribution parameters like dof and ncp.
Generate a dataset with rchisq() and use util_chisquare_param_estimate() to analyze it, even without knowing the underlying distribution. Visualize results with tidy_combined_autoplot().
Some days ago, the CRAN check with R-devel started to raise "Found non-API calls to R" NOTE. I'm not sure if they are serious on disallowing these not-so-minor APIs, but what should I do? Do you take some action or just wait? #stats
For example, rlang package now has these NOTE:
File ‘rlang/libs/rlang.so’:
Found non-API calls to R: ‘R_ClosureExpr’, ‘R_PromiseExpr’,
‘SETLENGTH’, ‘SET_ENCLOS’, ‘SET_ENVFLAGS’, ‘SET_TRUELENGTH’
The Bandit Algorithms by Tor Lattimore and Prof. Csaba Szepesv´ari provides an introduction to the multi-armed bandit problem. This includes different approaches for solving this type of problems using stochastic, adversarial, and Bayesian frameworks.
The Linear Algebra for Data Science course by Shaina Race Bennett provides a light and visual introduction to linear algebra ❤️. The course focuses on the core linear operations and their data science applications:
✅ Matrix operations
✅ Least squares
✅ Covariance
✅ Linear regression
✅ Eigenvalues and Eigenvectors
✅ PCA
A few days ago, I posted about the Convex Optimization course by Prof. Stephen Boyd from Stanford University. Following this post, multiple people recommended checking the course book - Convex Optimization by Prof. Stephen Boyd and Prof. Lieven Vandenberghe.
The Lessons in Statistical Thinking is a new book by Prof. Daniel Kaplan focusing on statistical reasoning. The book covers the following topics:
✅ Handling data
✅ Describing relationships
✅ Randomness and noise
✅ Casual modeling
✅ Hypothetical thinking
If I need to describe data science in one word, it would be optimization, and in two words, convex optimization. Convex optimization is the mathematical mechanizing beyond many data science algorithms, from least squares to neural network. The Convex Optimization course by Prof. Stephen Boyd (Stanford University) focuses on methods for identifying and solving convex optimization problems.
So I'm confused about which one is correct when two of them say 7 and 8 million respectively but Mastodon Users says 15 million users which is waaaayyy higher 👀
Super Mario Maker (WiiU) : alors que les serveurs vont fermer la semaine prochaine, un niveau résiste encore et toujours avec un 0% de complétion. Le stage s’appelle Trimming the Herbs et a été battu une seule fois par son créateur avant d’être uploadé…
Unsere #Instanz erfreut sich wachsender Beliebtheit und ich denke, Ihr Alle* habt Spaß hier bei uns?
Wir haben aktuell 144 trötende #Rüssel hier auf unserer Instanz und das bedeutet, dass unsere Instanz mit eine der erfolgreichen Instanzen im #deutsch sprachigen Raum geworden ist.
Das bedeutet aber auch, dass der Instanz #Server einiges zu leisten hat. Er muss performant bleiben und er muss groß genug sein, um die ganzen #Tröts mit ihren #Medien wie #Bilder und #Videos zu speichern. Auch der #Backup-Server muss entsprechend dimensioniert sein. Das alles kostet viel #Geld im #Monat, das ich vollständig aus der eigenen #Tasche bezahle.
Wenn es Dir hier bei uns also gefällt und Du nicht möchtest, dass diese Instanz irgendwann in der Versenkung verschwindet, wie so viele andere kleine und große Instanzen auch, dann denke doch einmal drüber nach, ob Du mich dabei nicht ein kleines bisschen #unterstützen möchtest.
If half of an airline's flights are full and half are empty, passengers will complain that the flights are full every time, contrasting with the assessment of the crew who report that half of the flights are empty. How do you call this effect/paradox? (I forgot)
The same effect explains that if you have an average number of friends (= popularity), more than half of your friends are more popular than you.
Or when your doctor tells you you're in average physical condition but each time you go cycling, most cyclists you come across are faster than you (because the fast cyclists are also the ones who spend the most time on the roads and are encountered disproportionately).
I've been searching resources and materials to make my Quarto presentations and website more accessible to visually impaired students and users. But, I wanted to reach out the R community to ask if anyone has more materials, knowledge or just opinions on how to improve accessibility using Quarto. I've found some blogs by Quarto users but I haven't found too many options. #QuartoPub#accessibility#webdev#stats
Following my previous posts on Bayesian Statistics, if you are looking for a resource to get started with, I recommend watching this great workshop by Angelika Stefan at R-Ladies Amsterdam meetup 👇🏼
The workshop focuses on the foundation of Bayesian statistics and covers topics such as:
✅ Parameter estimation
✅ Prior and posterior distribution
✅ Likelihood
A very nice tutorial for saving millions of headaches down the line when you run surveys on platforms like qualtrics! This is very much the flow we follow for this in my lab :) we use a construct map over a data dictionary but same principle, bonus it is excellent documentation about the empirical sources of our items and any adaptations we're testing and these docs have become a wildly useful internal asset
@grimalkina I'm really thankful I didn't take the survey design/analysis part of #Stats
I looks like so much work and a pain in the butt all this tiny things
I'm also very thankful for those who choose to do this job 🫡
es ist Samstag, der 27. Januar 2024. Die Sternzeit beträgt: -298927.76865776.
Wir befinden uns hier auf https://lsbt.me
Wir haben aktuell 138 User. Diese haben bisher 18681 Tröts geschrieben. Das sind 135.37 Tröts pro Rüssel.
Es folgt die Weisheit des Tages:
Mancher wird auch für seine Wahrheiten und Siege zu alt; ein zahnloser
Mund hat nicht mehr das Recht zu jeder Wahrheit.
-- Friedrich Wilhelm Nietzsche (Also sprach Zarathustra)
The Awesome Survival Analysis 🚀 repo by Einat Borohovich provides a curated list of resources for survival analysis, such as R and Python libraries, tutorials, papers, etc. 👇🏼
OC (De)centralisation of Lemmy communities in numbers
Lemmy instances by number of communities with over 1 thousand (5 thousands, 10 thousands) of monthly users:...