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Based on our record, Every Noice at Once should be more popular than Khan Academy. It has been mentiond 422 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You don't say how old she is. There are many programs you can enroll her in BUT if she wants to work at her own pace you can look online for what your state/municipality expects a child to know in each year. You can use workbooks, resources like CK-12 for science and video instruction or Khan Academy. Source: 7 months ago
Khan Academy is your best friend, you can also use openstax if you like reading more. Supplement with a quality textbook and video courses once you reach Algebra 1, this site and r/learnmath have good recommendations. And most importantly practice. Source: 8 months ago
Khanacademy.org Do a search for "investing" and you'll get dozens of free "courses". Source: 12 months ago
Khanacademy.org - seriously - everything from basic integers and counting to advanced calculus - all at whatever pace you need. Source: 12 months ago
However, the math instruction that worked for me (I suddenly had to teach upper level math to expelled students in a self-contained class - and didn't know anything past Alg 1) was khanacademy.org, a free online program. I also learned chemistry and physics when those became required. Source: about 1 year ago
I see this in https://everynoise.com/#updates > 2024-01-05 status update: With my layoff from Spotify on 2023-12-04, I lost the internal data-access required for ongoing updates to many parts of this site. Most of this, as a result, is now a static snapshot of what, for now, will be the final state from the site's 10-year history and evolution, hosted on my own server. Some pieces may get disabled and reenabled... - Source: Hacker News / 2 months ago
Anyone aware of a similar feature for foobar2000? I have an extensive library mostly tagged from Discogs, including release IDs. In theory, this should be sufficient to cluster music by genres, pull similar releases from Discogs "similar" feature and correlate data from https://everynoise.com. Obviously, in case of album mixed genres things will mix up, but I'm not sure there's a model that can correlate existing... - Source: Hacker News / 3 months ago
The article mentions Glenn McDonald's musical genre page (https://everynoise.com/, no longer refreshing with new Spotify data) as an example of a flexible graph-like exploration format, without being burdened by explicit connections. The author also has a thorough description of pros and cons of the general concept. - Source: Hacker News / 6 months ago
This is from Glenn McDonald's blog, founder of "Every Noise at Once". He was laid off from Spotify (discussed here briefly [0]) --- https://everynoise.com/ is now in "archival copy" mode [1][2]. Super sad to read / see this. [0] https://news.ycombinator.com/item?id=38650917 [2] https://twitter.com/EveryNoise/status/1736086849339244935. - Source: Hacker News / 7 months ago
Data exported using: https://benjaminbenben.com/lastfm-to-csv/ Album art compiled using: https://www.neverendingchartrendering.org/ Genre data compiled using: http://organizeyourmusic.playlistmachinery.com/# https://everynoise.com/ https://www.tunemymusic.com/transfer Gender, year and country of origin information manually compiled using Last.fm and wikipedia. Data analysis done in excel and image created in GIMP. Source: 7 months ago
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