.
Are you saying the book itself is ML porn?
Indeed but I wonder if one could build a platform that does this behind the scenes. User sends BTC to the online wallet, and the site hedges on behalf of the user on one of the liquid future exchanges, locking in the…
You can just hedge your exposure on a futures exchange and still use BTC to transact but be unexposed to any price movements. Although doing that is very complicated and defeats the purpose of an easy to use alternative…
How do they account for the expected lower turnover due to the price increase when they estimate the post-policy gross hourly wage?
It's not an ideal natural experiment because the cost of all ride sharing will rise simultaneously, so many of the substitutes (other brands) are equally more expensive. In other markets Uber couldn't raise their prices…
I think there's two reasons. First is that the costs are hidden and complicated. We need a decent understanding of economics combined with an honest and deep analysis of the consequences of the specific policy to…
Does R have robust CSV parsing? I remember using the default and it'd be extremely finicky about getting the header and index flags right and wouldn't typecast numeric columns properly (instead they'd end up as factors…
I've used R (3 years) and Python (8+ years) in data science and much prefer Python, because it can do things that aren't just pure data analysis, and because pandas is so amazingly good compared to R's data matrix…
It's designed to be a 1v1 game, a lot of people don't like that because it becomes hyper-competitive and even a little stressful when compared to team games
Is there a good discovery mechanism for finding individual journalists producing quality content on eg substack or medium? I want to find their content but I don't know where to start.
The burden of proof is on the individual claiming that agricultural investment by Western firms into Africa is a negative, given that it's commonly believed that FDI is a good thing and African governments routinely and…
The sentence following the one that you quoted is the defense, perhaps you should argue against that instead?
RTSs attract a certain personality type: the type of person that becomes an engineer, mathematician, scientist, or statistician. I met so many individuals from these career choices when I was playing RTSs that it was…
We can't honestly equate the Uyghur genocide, jailing of political dissidents, Xi's dictator for life status and the CCP's censorship apparatus to the modern US, even when factoring in the ongoing travesties e.g NSA…
Apologies, I meant to say large public companies in my OP, i.e. those listed on the stock exchange. I'd be interested if there was any examples of those using compromising political information for leverage. I…
It's the proximity of the situation to Jack Ma's comments that tips you off as to the true reason for the actions. It's not just normal anti-trust, the timing suggests an attempt to punish any opposition to the CCP or…
And that's not a small difference, it's the difference between a liberal democracy (with its many mistakes and flaws) and an authoritarian dictatorship. The both-sides fallacy should be avoided here and elsewhere.
It's wild and rather irresponsible given the censorship and surveillance that people in China are subjected to.
Are there examples of large public companies releasing compromising information on elected officials in response to political threats or pressure?
#84 is especially good advice. Bandwagon criticism and demonisation is very common in the workplace and pretty much every group environment I've been in, although to varying degrees. Definitely a deep-seated…
I'm probably being dense but what do you mean by "the same way it was when it was tossed 51% of the time"?
There's two problems in markets, price prediction and execution (ie what to do with your prediction). The former is a supervised learning problem but the latter is an action space problem ie an RL problem. Although…
Many very smart people have tried and failed. State of the art remains very basic supervised models with hand engineered features. In the markets, data is permanently scarce, so these methods don't work well. In the RL…
There's ways to address this such as an open auction with one day to collect buys and sells. You'll get a pretty stable open price determined by the fair open market.
.
Are you saying the book itself is ML porn?
Indeed but I wonder if one could build a platform that does this behind the scenes. User sends BTC to the online wallet, and the site hedges on behalf of the user on one of the liquid future exchanges, locking in the…
You can just hedge your exposure on a futures exchange and still use BTC to transact but be unexposed to any price movements. Although doing that is very complicated and defeats the purpose of an easy to use alternative…
How do they account for the expected lower turnover due to the price increase when they estimate the post-policy gross hourly wage?
It's not an ideal natural experiment because the cost of all ride sharing will rise simultaneously, so many of the substitutes (other brands) are equally more expensive. In other markets Uber couldn't raise their prices…
I think there's two reasons. First is that the costs are hidden and complicated. We need a decent understanding of economics combined with an honest and deep analysis of the consequences of the specific policy to…
Does R have robust CSV parsing? I remember using the default and it'd be extremely finicky about getting the header and index flags right and wouldn't typecast numeric columns properly (instead they'd end up as factors…
I've used R (3 years) and Python (8+ years) in data science and much prefer Python, because it can do things that aren't just pure data analysis, and because pandas is so amazingly good compared to R's data matrix…
It's designed to be a 1v1 game, a lot of people don't like that because it becomes hyper-competitive and even a little stressful when compared to team games
Is there a good discovery mechanism for finding individual journalists producing quality content on eg substack or medium? I want to find their content but I don't know where to start.
The burden of proof is on the individual claiming that agricultural investment by Western firms into Africa is a negative, given that it's commonly believed that FDI is a good thing and African governments routinely and…
The sentence following the one that you quoted is the defense, perhaps you should argue against that instead?
RTSs attract a certain personality type: the type of person that becomes an engineer, mathematician, scientist, or statistician. I met so many individuals from these career choices when I was playing RTSs that it was…
We can't honestly equate the Uyghur genocide, jailing of political dissidents, Xi's dictator for life status and the CCP's censorship apparatus to the modern US, even when factoring in the ongoing travesties e.g NSA…
Apologies, I meant to say large public companies in my OP, i.e. those listed on the stock exchange. I'd be interested if there was any examples of those using compromising political information for leverage. I…
It's the proximity of the situation to Jack Ma's comments that tips you off as to the true reason for the actions. It's not just normal anti-trust, the timing suggests an attempt to punish any opposition to the CCP or…
And that's not a small difference, it's the difference between a liberal democracy (with its many mistakes and flaws) and an authoritarian dictatorship. The both-sides fallacy should be avoided here and elsewhere.
It's wild and rather irresponsible given the censorship and surveillance that people in China are subjected to.
Are there examples of large public companies releasing compromising information on elected officials in response to political threats or pressure?
#84 is especially good advice. Bandwagon criticism and demonisation is very common in the workplace and pretty much every group environment I've been in, although to varying degrees. Definitely a deep-seated…
I'm probably being dense but what do you mean by "the same way it was when it was tossed 51% of the time"?
There's two problems in markets, price prediction and execution (ie what to do with your prediction). The former is a supervised learning problem but the latter is an action space problem ie an RL problem. Although…
Many very smart people have tried and failed. State of the art remains very basic supervised models with hand engineered features. In the markets, data is permanently scarce, so these methods don't work well. In the RL…
There's ways to address this such as an open auction with one day to collect buys and sells. You'll get a pretty stable open price determined by the fair open market.