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Rocker Chris Cornell of Soundgarden dies at 52, spokesman says
Rocker Chris Cornell, who gained fame as the lead singer of the bands Soundgarden and later Audioslave, has died at age 52, according to his representative. Cornell, who had been on tour, died Wednesday night in Detroit, Brian Bumbery said in a statement to The Associated Press. Bumbery called the death "sudden and unexpected" and said his wife and family were shocked by it. The statement said the family would be working closely with the medical examiner to determine the cause and asked for privacy. With his powerful, nearly four-octave vocal range, Cornell was one of the leading voices of the 1990s grunge movement with Soundgarden, which emerged as one of the biggest bands out of Seattle's emerging music scene, joining the likes of Nirvana, Pearl Jam and Alice in Chains.
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The What, Why, and How of Machine Learning - Sidecar Blog
"What is'machine learning?" is high on the list of most-commonly-asked questions of the Sidecar team. Machine learning underpins Sidecar's optimization technology for product listing ads, and we're not shy about making that fact known. But we understand that the term might sound a little bit sci-fi to some. However, since it's so central to what we do and who we are, we thought a simple explanation of machine learning was in order -- no computer science degree required. At its simplest, machine learning means giving computers the power to teach themselves to make decisions using historical examples, rather than explicitly programming them to perform a task.
The What, Why, and How of Machine Learning
Machine learning underpins Sidecar's optimization technology for product listing ads, and we're not shy about making that fact known. But we understand that the term might sound a little bit sci-fi to some. However, since it's so central to what we do and who we are, we thought a simple explanation of machine learning was in order -- no computer science degree required. At its simplest, machine learning means giving computers the power to teach themselves to make decisions using historical examples, rather than explicitly programming them to perform a task. To illustrate this concept, I'm going to borrow an example from The Data Skeptic, a popular -- and highly recommended -- podcast by Kyle Polich.