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Guitar dulcimer: a hybrid of guitar and dulcimer, with the body more closely resembling a guitar, but the string configuration and pegs of a dulcimer. The stringing pattern on these instruments are frequently the reverse of the dulcimer, with low-pitched strings on the left and higher strings on the right, and they are usually held and played ...
A learning curve is a graphical representation of the relationship between how proficient people are at a task and the amount of experience they have. Proficiency (measured on the vertical axis) usually increases with increased experience (the horizontal axis), that is to say, the more someone, groups, companies or industries perform a task, the better their performance at the task.
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The mountain dulcimer often conjures up rustic mountain life and simple traditional music from the American South in a bygone era. But that’s not the whole story. From a group of countercultural youth living in the Santa Cruz Mountains in the late 1960s to Joni Mitchell's influential Blue album in the early 1970s, the mountain dulcimer found a new voice in a "new land": California.
There, the word dulcimer, which was familiar from the King James Version of the Bible, was used to refer to a three or four stringed fretted instrument, generally played on the lap by strumming. Variants include: The original Appalachian dulcimer; Various twentieth century derivatives, including Banjo dulcimer, with banjo-like resonating membrane
It’s quite a learning curve. Read On The Fox News App. This process intensifies during the holidays. It’s the final ramp-up to the launch of things on January 3.
In machine learning (ML), a learning curve (or training curve) is a graphical representation that shows how a model's performance on a training set (and usually a validation set) changes with the number of training iterations (epochs) or the amount of training data. [1]
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