Based on our record, Reference.com should be more popular than Apple Machine Learning Journal. It has been mentiond 13 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.
This wasn't for my team but, I was looking in this comment section for any mention of Billy Butler. Couldn't find any after maybe 2-3 minutes of looking. I remembered him being better than his stats on baseball-reference.com say he is. Maybe that was because I used to play a lot of MLB 2K11 when I was a younger. Source: over 1 year ago
You can use WSJT-X,FLDigi,and other programs with the sdr software,but I'm no help there,as I use ham transcievers for digital. Look on radio https://reference.com for just about anything that you're interested in. It even has a state by state section.along with a database for cities and counties. You can spend a long time on that site,and learn a lot. Source: over 1 year ago
I think a lot of this depends on the site from where Microsoft culls their answers. For rat, the first that pops up when selecting it says a baby rat is a "kit," but if you search, it changes. Squeaks and nibbles says, "A baby rat is called a kitten or a pup," whereas reference.com says "a baby rat is called a pup.". Source: almost 2 years ago
Baseball reference.com shows him at 0 runs on defense, so perfectly average. NOt sure what you're looking at. I suppose statcast? I will have a look there. Source: almost 2 years ago
The TOP response (reference.com) says 800f open air to 1500 ideal. Source: almost 2 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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