MD @ EconOne | Prof @EconUofU | ED @ UtahProject | NYTimes: "one expert for the plaintiffs" | Prospect:"preeminent watchdog of The Economist's most wrong takes"haljsinger.wordpress.com/recent-essays/ Washington, D.C.Joined December 2011
The greatest irony of economic discourse is that pundits and writers fall back on econ 101 without realizing how much of upper level courses (esp intermediate/advanced micro) is all about why the 101 models are reductive
The greatest irony of economic discourse is that pundits and writers fall back on econ 101 without realizing how much of upper level courses (esp intermediate/advanced micro) is all about why the 101 models are reductive
Likely a Sisyphean task for Plaintiffs to explain the algorithm, particularly if provider uses black box v. clear box algorithms. Often not just a single one either, can use PCA for pre-processing before a neural network. Ensemble models like boosting complicate explanation too.
Likely a Sisyphean task for Plaintiffs to explain the algorithm, particularly if provider uses black box v. clear box algorithms. Often not just a single one either, can use PCA for pre-processing before a neural network. Ensemble models like boosting complicate explanation too.
@Sherman1890 As the Yardi court pointed out, why else would a hotel pay large amounts of money, hand over competitively sensitive real time data, and delegate pricing authority to a software company that you know all your competitors are using? To decide that question at the 12b6 stage,…
@Sherman1890 I was on the panel and pretty astounded by the claim that plaintiffs risk violating Rule 11 bc they can’t possibly know how the algos are using the data provided by hotels unless they know what’s happening inside the algorithm’s “black box". Under Twombly, it is absolutely…
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