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Wikipedia VS Apple Machine Learning Journal

Compare Wikipedia VS Apple Machine Learning Journal and see what are their differences

Wikipedia logo Wikipedia

Wikipedia is a free online encyclopedia, created and edited by volunteers around the world and hosted by the Wikimedia Foundation.

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Wikipedia Landing page
    Landing page //
    2023-09-24
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Wikipedia videos

Wikipedia The Game | Beer and Board Games

More videos:

  • Review - Using Wikipedia on an iPod Mini
  • Review - I Don't Use or Trust Wikipedia Anymore.

Apple Machine Learning Journal videos

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Category Popularity

0-100% (relative to Wikipedia and Apple Machine Learning Journal)
Content Collaboration
100 100%
0% 0
AI
0 0%
100% 100
Note Taking
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Wikipedia and Apple Machine Learning Journal

Wikipedia Reviews

17 open source wiki engine/software
MediaWiki is a free and open source server based wiki engine written in PHP developed by Wikipedia. MediaWiki is an extremely powerful, scalable software and a feature-rich wiki implementation, that uses PHP to process and display data stored in its MySQL database. Pages use MediaWiki’s wiki-text format, so that users without knowledge of XHTML or CSS can edit pages easily...

Apple Machine Learning Journal Reviews

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Social recommendations and mentions

Based on our record, Wikipedia seems to be a lot more popular than Apple Machine Learning Journal. While we know about 127 links to Wikipedia, we've tracked only 6 mentions of Apple Machine Learning Journal. 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.

Wikipedia mentions (127)

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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
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What are some alternatives?

When comparing Wikipedia and Apple Machine Learning Journal, you can also consider the following products

Miraheze - Miraheze is a wiki farm (hosts wikis) for free and with no ads, it also provides custom domains...

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Fandom - The entertainment site where fans come first.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Encyclopædia Britannica - Explore the fact-checked online encyclopedia from Encyclopaedia Britannica with hundreds of thousands of objective articles, biographies, videos, and images from experts.

Lobe - Visual tool for building custom deep learning models