雖然這篇Digiday podcast鄉民發文沒有被收入到精華區：在Digiday podcast這個話題中，我們另外找到其它相關的精選爆讚文章
在 digiday產品中有5篇Facebook貼文，粉絲數超過7萬的網紅GIGAZINE，也在其Facebook貼文中提到， Amazon’s Choiceラベルは「良い商品」についているわけではない(2019) https://gigazine.net/news/20190819-amazons-choice-vendors/...
同時也有10000部Youtube影片，追蹤數超過2,910的網紅コバにゃんチャンネル，也在其Youtube影片中提到，...
digiday 在 元美容部員 和田さん。 Instagram 的最讚貼文
2020-05-07 16:07:21
おはようございます💖 最近毎日使っているのがこちらの ミネラルファンデの師匠です。 最近はラロッシュポゼの日焼け止めに これだけで毎日過ごしてます。 私はPRでお化粧品を皆様に ごり押しするつもりはなく、 そもそも全員に必ず合うアイテムは 存在しないので、 コスメは正に日本中の女性の悩みの数 ...
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digiday 在 コバにゃんチャンネル Youtube 的最讚貼文
2021-10-01 13:19:08![post-title]()
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digiday 在 大象中醫 Youtube 的最佳解答
2021-10-01 13:10:45![post-title]()
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digiday 在 大象中醫 Youtube 的最佳貼文
2021-10-01 13:09:56![post-title]()
digiday 在 GIGAZINE Facebook 的最佳貼文
Amazon’s Choiceラベルは「良い商品」についているわけではない(2019)
https://gigazine.net/news/20190819-amazons-choice-vendors/
digiday 在 AppWorks Facebook 的最佳貼文
【Machine Journalism】
As artificial intelligence continues to grow in every way, we can start to see its effect on all industries. One seemingly untouched industry is journalism, and recently the news website Quartz unveiled a new studio called Knight Foundation dedicated to reporting the news using machine learning techniques.
This past weekend, their first article was released. Quartz reporters trained an algorithm to examine anticipated risks in Lyft's IPO and to highlight unusual concerns posed by Lyft's executives. While the content isn't what we'd call revolutionary, the fact that they used an algorithm to collect and dig through data was innovative in of itself, and gives us a peek of what the future holds in terms of journalism and the media.
“This is taking [data journalism] to the next level where we’re trying to get journalists comfortable using computers to do some of this pattern matching, sorting, grouping, anomaly detection — really working with especially large data sets,” John Keefe, Quartz’s technical architect for bots and machine learning, told Digiday back when the Quartz AI Studio first launched.
Welcome to the world of AI, journalists.
OP: Natalie Feng Lin, Analyst
digiday 在 車庫一姊 Facebook 的最佳解答
依賴別人長大的流量，等別人要收起來你也沒辦法呀！