Based on our record, Apple Machine Learning Journal should be more popular than Slip.so. It has been mentiond 6 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.
There are many places which will give you some ideas like gum road , slip.so , microacquire etc. Source: over 2 years ago
In just over a year Kenneth Cassel, founder of Slip built a following of thousands across his personal and company account. For people trying to grow a community on Twitter Kenneth shared the following advice. Source: over 2 years ago
IDEA 2: Slip.so build programming courses easily. Teach other developers with a CodeAcademy type learning platform. Source: about 3 years ago
Hey y’all 👋 I just launched my new interactive course, Working with Arrays using the new Slip platform. You can try 3 lessons free and it comes with a bonus E-Book, interview questions, and more. It’s in Early Access for $15 🙂. Source: about 3 years 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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