The banking syndicate takes on some risk in order to facilitate trading in a successful IPO. Usually to compensate for this risk the IPO price is (slightly) less than what they believe the stock will trade at. This way the IPO investors and the banks can make a bit of money for bearing this risk.
It's usually seen as unsuccessful and a bad-news story when a stock falls below its IPO price. Even though Lyft might have taken the max from investors, it will diminish its ability to raise further equity and its bankers will lose the trust of the IPO investors.
Long is short-hand for anyone benefiting from the price of the stock rising. This includes people who own the stock outright, have bought on credit, own call options, have sold put options, etc.
My point was that I don't think there's a ton of productivity to be lost by smoking 1 puff in the middle of the night vs. smoking a whole joint in the middle of the day.
The "X" in this case has too wide of a range of interpretation to jump the gun on hypocrisy.
He took one puff of weed on a casual podcast at ~11 p.m. local time. Not certain this is the canary in the coal mine some people are making it out to be... but I guess volatile stocks will find reasons to be volatile?
I work for a small consulting firm focused on improving productivity and building innovation systems within small-medium sized businesses. And having strategic plans, vision, values is hugely important in building a focused innovation program. It's become routine in my engagements to spend significant time defining goals and values where the companies had none previously! This sort of exercise is valuable for firms at any stage and size in my opinion.
This is really great. I actually struggled to find ML solutions for a large relational data set at a previous employer. Ended up figuring out a way to flatten the data, but was not ideal. Glad that people are working on this, keep it up!
Former banker, and to this day I remove the F1 key from my keyboards because I still use excel heavily. Never really crossed my mind to remove winhelp.exe or anything else. This was a simple solution to a simple problem, didn't need anything more complicated.
And if I ever need to access the help function, I'd just stick a pen in the socket and hit the membrane.
Seems to be a few as other comments have pointed out. But the female labour-force participation rate at the start of the dataset would make it difficult for individual job categories to switch from majority female to male over this particular time span.
This is a great point, and why I'd like to see more features being locked without a passcode. The move in iOS 11 to restrict device imaging without a passcode is a great step in this direction.
Perhaps we can see more customization as to what biometrics unlock and what they don't?
This is a great point, and I think I fall into that bucket you describe. I have just enough information to be dangerous.
There does seem to be a lack of available tools even for someone with a well-defined problem with available labelled data to validate implementing machine learning to a problem. I think that there's a need out there for a software with a GUI that can accept data and let you try some ML approaches with it and take the coding out of it - and it doesn't seem like it would be insanely difficult to build.
Don't mix up "Romans" and "Europeans." A better question is if the residents of Rome and other cities that had public facilities went back to the bucket or if they continued to use and maintain the public toilets. The rest of Europe likely never had public facilities to begin with, and the fall of the Empire might have delayed that technology transfer I suspect.
For those who want to take a deep dive in the world of bananas, great article about what different people are trying to do about the problem (from 2011):