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The Best AI Articles of October 2022

#artificialintelligence

Here are the five articles you have to read if you are learning about artificial intelligence or simply interested in expanding your knowledge in this field. This article was sponsored by HackerNoon, which means the articles you will see were all published on HackerNoon by amazing individuals, some of them from our community. Still, I carefully selected my personal top five amongst hundreds of other super interesting ones that you might enjoy even more. So please feel free to look at the AI tag on HackerNoon to see similar articles and keep learning! As you may already know, HackerNoon also has a contest called Noonies running right now if you have any creative projects.


Top 5 AI Articles of February 2022 Every Data Scientist Should Read

#artificialintelligence

I explain Artificial Intelligence terms and news to non-experts. Here are the five best HackerNoon articles related to artificial intelligence in February. I hope they will help you learn more about machine learning this year. Note that the five articles you will see were curated by myself amongst hundred of other super interesting ones that you might enjoy even more. So please feel free to look at the AI tag on HackerNoon and keep learning!


tensorflowjs_2021-11-27_20-50-32.xlsx

#artificialintelligence

The graph represents a network of 236 Twitter users whose tweets in the requested range contained "tensorflowjs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 28 November 2021 at 04:50 UTC. The requested start date was Sunday, 28 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 13-day, 9-hour, 43-minute period from Sunday, 14 November 2021 at 08:46 UTC to Saturday, 27 November 2021 at 18:30 UTC.



How Machine Learning Finds Your Music – Hacker Noon

@machinelearnbot

This message is brought to you by Codacy. They automate quality standards & code reviews on every commit & pull request so you can ship 2 days earlier on every 2 week sprint. When it comes to content discovery, the market leaders dictate what's next. As in, what movie should I watch? Or what song should I listen to?