384 karma · joined January 12, 2013
https://3dprintingindustry.com/news/bladder-grown-from-3d-bi...
https://www.theverge.com/2018/10/24/18019048/tesla-earnings-...
1. No oil changes. 2. Fewer moving parts, fewer repairs, longer life. 3. Instant acceleration. 4. Zero emissions. 5. Ability to be fully powered by renewable energy.
Power is not measured by “users.”
This is exactly the problem -- what you're describing is not easy for anyone outside of tech to do. If you want to, say, run a simple text classification task and have thousands of labels, this is way overkill. Machine learning has the opportunity to become a common place utility for automating repetitive tasks, and the barrier to entry does not need to be learning Tensorflow, Docker, and Jupyter.
How to do it? That's the $1B question.
See NASDAQ's official listing ( http://www.nasdaq.com/symbol/amzn/after-hours ). Several other ticker symbols (AAPL, MSFT, etc.) are also affected.
It appears several tech stocks (AAPL, MSFT, AMZN, etc.) have their prices set to 123.47. Definitely pointing to some sort of data corruption.
See NASDAQ's official listing ( http://www.nasdaq.com/symbol/amzn/after-hours ). Several other ticker symbols (AAPL, MSFT, etc.) are also affected.
Edit: It appears several tech stocks (AAPL, MSFT, AMZN, etc.) have their prices set to 123.47. Definitely pointing to some sort of data corruption.
Source: I am a manager who has given offers to top-tier ML experts.