Not exact matches
Curious what you think: what's a darker / worse «
black box» to you — FB's news feed
algorithm or the NYT's overall news judgement?
While SAC Capital may use some trading
algorithms in its day - to - day, Cohen's is not a
black -
box operation, with software designed and constantly tweaked by a squadron of PhDs like those that work for Simons.
These funds buy stocks when the VIX falls and unload stocks when it rises — all based on
algorithms which are automatically executed by «
black box» computerized trading systems.
The
black box of an
algorithm, on the other hand, lends undue legitimacy to the police targeting certain locations while simultaneously removing accountability.
This problem gets down to what is known as a
black box issue: How exactly is an
algorithm reaching its conclusions?
So computer and data scientists are coming up with creative ways to work around the
black box status of machine - learning
algorithms.
Of course, users can't easily judge an
algorithm's fairness on these finer points when its reasoning is a total
black box.
The method developed by the team led by Brown and Yu, iterative Random Forests (iRF), builds on an
algorithm called random forests, a popular and effective predictive modeling tool, translating the internal states of the
black box learner into a human - interpretable form.
Test scores and
black -
box algorithms can't help children critically think and problem solve.
It's a
black box as far as precise details go, but there are some models we can use that approximate the
algorithm's behavior.
The alternative explanation is that Amazon's ranking
algorithm (a
black box that everybody has tried to game but nobody has figured out) has pushed Amazon's Kindle e-books much higher in the rankings than their sales would otherwise justify.
The
black -
box algorithms that compute credit scores incorporate hundreds of data points.
He wants to demystify both the romantic notion of the «artistic genius» as well as the «
black box» of computer
algorithms, which increasingly influence our personal lives and forecast our political future.
EGO implements the
algorithm EGO by D. R. Jones, Matthias Schonlau and William J. Welch: Efficient Global Optimization of Expensive
Black -
Box Functions, Journal of Global Optimization, 13:455 - 492, 1998.
In order to move forward, we will have to put ever more confidence in complex, uninterpretable «
black box»
algorithms, based solely on their power to reliably predict new observations.»
We can not blindly rah rah our way toward an AI future without taking a close look at the processes that often manifest themselves to us as a «
black box» full of machine learning
algorithms.
In Tim Knight's recent Slaw post on the
black box of artificial intelligence, he talked about the importance of understanding the «how» of the underlying
algorithms as we become more reliant on both their results and their predictive capabilities.
Algorithms are designed by humans and, more often than not, are
black boxes that we can't see into.
Brian Barrett at Wired said a week ago that ``... anyone weary of
black -
box algorithms controlling what you see online at least has a respite, one that's been there all along but has often gone ignored.
The problem is worse when the resume is being reviewed by «
black box»
algorithms built into recruiting systems that are developed for a broad market or later customized by humans who adapt the systems for their own needs.