JASP Reviews

Apple Machine Learning Journal Reviews

JASP mentions (14)

• Introduction to Modern Statistics

  Anyone looking to apply and compare frequentist and bayesian methods within a unified GUI (which is essentially an elegant wrapper to R and selected/custom statistical packages), should check out JASP developed by the University of Amsterdam [0]. It's free to use, and the graphs + captions generated on each step are of publication quality out of the box. Using it truly feels like a 'fresh way' to do... - Source: Hacker News / 8 months ago

• Can anyone share spss for macOS?

  Https://jasp-stats.org fully free. Its advisible to learn python, R or matlab for graduate school. Source: 11 months ago

• Help with my analysis in spss. I have 5 independent (ordinal) variables. 1 Moderator and 1 dependent variable. How do I run a multiple regression in SPSS?

  Also for alternative software that are much easier to use take a look at JASP or jamovi (both are very similar); and as a bonus, neither of these two will require you to manually add product variables to your dataset. Source: 12 months ago

• [D] Discussion: R, Python, or Excel best way to go?

  If you have no access to SPSS (or SAS, or JMP), then look into JASP (https://jasp-stats.org/). I've only just touched that. One thing I believe is that JASP (as well as JMP) will allow/block off tests and analyses depending on the nature of each column. This means that, for example, if you have groups A, ..., Z, the software will treat those as non-numbers, which can only be used as inputs for variables which... Source: about 1 year ago

• [Q] Advice on JMP versus R

  If you're looking for a stop-gap Stats software while you learn R, try JASP. It's a free statistical analysis software which runs on R. Https://jasp-stats.org/. Source: over 1 year ago

Apple Machine Learning Journal mentions (6)

• Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]

  For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago

• Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?

  We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago

• Apple’s secrecy created engineer burnout

  They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago

• [D] Is anyone working on open-sourcing Dall-E 2?

  They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago

• How does Apple achieve both secrecy and quality for a release?

  Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago