Learn more about a very high quality time series model released by @GoogleResearch a while back at research.google/blog/a-decodโฆ
๐ ๐ง๐ถ๐บ๐ฒ ๐ฆ๐ฒ๐ฟ๐ถ๐ฒ๐ ๐๐ผ๐๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป ๐ ๐ผ๐ฑ๐ฒ๐น ๐๐ ๐๐ผ๐ผ๐ด๐น๐ฒ
This has been pre-trained on a time series corpus of 100 billion data points, & shows impressive performance on various benchmarks from diverse domains.
๐ง๐ถ๐บ๐ฒ๐๐๐ ๐๐ถ๐๐ต๐๐ฏ ๐ฝ๐ฎ๐ด๐ฒ: github.com/google-research/tโฆ
๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐ ๐ฎ๐ป๐ฑ ๐๐ผ๐ฟ๐ฒ๐ฐ๐ฎ๐๐๐ถ๐ป๐ด: leanpub.com/pycaretbook/
MM retweeted
Getting employees to work hard and deliver really isn't a matter of mandating work-from-office and long hours. It's a matter of incentives and ownership. People do their best when they work on interesting problems, in a self-directed manner, and get rewarded for success.
This is true regardless of location and schedules.
Inversely, if you don't get this right, it really doesn't matter how long your employees stay in the office. I've seen the office culture in Japan.
MM retweeted
Is TimeFM from @GoogleAI the first ever time-series model to trend on @huggingface? huggingface.co/models
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TimesFM is a forecasting model, pre-trained on a large time-series corpus of 100 billion real world time-points, that displays impressive zero-shot performance on a variety of public benchmarks from different domains and granularities. Learn more โ goo.gle/480VRlm
MM retweeted
The main cost of the things in your life isn't what you paid for them, it's how much of your time and mental space they occupy.
I would conserve water if I had any!
To avoid a citywide boil water notice, impacts to fire protection, or widespread lack of water service, Austin Water is immediately requiring mandatory conservation measures and limiting water use to essential needs. More @ austintexas.gov/boilh2o
If you're at #NeurIPS2020, check out Mridula Maddukuri @Summer1992 and my poster on Deep Multi-Instance/Multi-Label Learning at the Joint Affinity Group poster session today and the @WiMLworkshop poster session on Wednesday!













