O'Reilly on Data
JANUARY 22, 2019
They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below. Not even close.
Smart Data Collective
JUNE 24, 2023
In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum. Before your crypto transaction is completed, it must be broadcast to its proprietary network for validation. They examined Ethereum’s smart contracts and used eXtreme Gradient Boosting (XGBoost) to build detection models.
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CIO Business Intelligence
MARCH 20, 2023
The PGA Tour uses the technology to help broadcasters present information to fans about a shot’s rise, speed, arc, and distance. Topgolf driving ranges provide golfers with data about their performance at the range via a mobile app. It uses multiple video angles to extrapolate the flight of the ball.
Edwin Chen
SEPTEMBER 6, 2011
Much of Quora’s appeal, after all, lies in its social graph – and when you’ve got a network of users, all broadcasting their activities to their neighbors, information can cascade in multiple ways. How does information spread through a network? How do these social designs affect which users see what?
datapine
DECEMBER 28, 2021
During one of Fow New’s broadcasts, anchor Tucker Carlson displayed a graph saying that the number of Americans identifying as Christians had collapsed over the last decade. 3) Data fishing. This misleading data example is also referred to as “data dredging” (and related to flawed correlations). Source : www.rawstory.com.
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