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I love working with buffer its feature of scheduling makes me free for whole month. Best and easy tool to use.
Based on our record, Buffer should be more popular than Apple Machine Learning Journal. It has been mentiond 56 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.
For example look at buffer.com. Create simple web app where user will write a post, select target social networks to publish and time of publishing (like 8 hours from now). Source: 6 months ago
I use buffer to post to IG / Tiktok without visiting them. It works fairly well, although not perfect, but they seem to be working on it pretty consistently. Source: 11 months ago
Socialjobnow.com has published a comparison between Buffer and Later, two popular social media management tools used by businesses to schedule and automate their social media posts. The article provides an in-depth analysis of each tool's features, pricing, and benefits, offering valuable insights for businesses looking to optimize their social media strategy. Source: 12 months ago
Have you looked at Buffer as a Hootsuite alternative - https://buffer.com/, or Agorapulse? - https://www.agorapulse.com/. Source: 12 months ago
Used tools like Buffer and Planable to plan and schedule all your social media content in advance. Source: about 1 year ago
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
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
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
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
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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