Things to Do in L.A. Tap to enable a layout that focuses on the article. Mark Chaney filmed the Serve Robotics device repeatedly swerving into his path. This is read by an automated voice. Please report any issues or inconsistencies here . A collision between a delivery robot and a man using a mobility scooter in West Hollywood received more than 26 million views.

The presence of a high number of zero flow trades continues to provide a challenge in identifying gravity parameters to explain international trade using the gravity model. Linear regression with a logarithmic linear equation encounters an indefinite value on the logarithmic trade. Although several approaches to solving this problem have been proposed, the majority of them are no longer based on linear regression, making the process of finding solutions more complex. In this work, we suggest a two-step technique for determining the gravity parameters: first, perform linear regression locally to establish a dummy value to substitute trade flow zero, and then estimating the gravity parameters. Iterative techniques are used to determine the optimum parameters. Machine learning is used to test the estimated parameters by analyzing their position in the cluster. We calculated international trade figures for 2004, 2009, 2014, and 2019. We just examine the classic gravity equation and discover that the powers of GDP and distance are in the same cluster and are both worth roughly one. The strategy presented here can be used to solve other problems involving log-linear regression.

Thom Golden, senior vice president of data science at Capture Higher Ed, took his family to Chaney's Dairy Barn in Bowling Green, Ky. The experience left him with more than just some premium homemade ice cream and an afternoon of fun in the country. He was able to see firsthand how Artificial Intelligence (AI) can open up new possibilities for a family business. "I've never been a dairy farmer, but I know enough to understand that it's exhausting," Thom says during a recent episode of The Weightlist, Capture's podcast that regularly discusses the areas between data, new technologies and enrollment management. He hosts the podcast with Brad Weiner, director of data science at Capture.

Whether it's allegations of ethnic cleansing in Myanmar, anti-Muslim violence in Sri Lanka or the "gilets jaunes" protests in France, it is clear that social media platforms are helping spread divisive messages online at an alarming rate and potentially fueling offline violence. But the debate is about whether these platforms are an essential cause, without which these events could not have happened, or merely reflect real-world tensions. Read more: Debate: The'gilets jaunes' movement is not a Facebook revolution Algorithmic amplification is when some online content becomes popular at the expense of other viewpoints. This is a reality on many of the platforms we interact with today. The history of our clicks, likes, comments and shares are the data powering the algorithmic engine.