text: By Joanna McClanahan of Ramblin’ Mama Country singer Blake Shelton has filed for divorce from another country singer after four years of marriage. This divorce is reportedly the worst thing to happen to Oklahoma since fracking. “First Heidi Klum and Seal, then Ben and Jen, now this?!” said apparent relationship […]
  By Melissa Coble of An Unfit Parent After the breaking news of a crying child at Marcy’s Diner here in Portland yesterday, we sent our reporter, Tom Richardson, out into the streets to get a reaction from the locals. Many had not heard about the crying child, or the subsequent post […]
  This is difficult for me to talk about. But as a red-blooded American and champion for traditional family values, I believe it is my duty. So here goes. Marriage equality made my family gay. And it can happen to you. It starts out innocently enough. One minute, your spouse and […]
  By Lola Lolita A recent study of one found that people tend to feel thankful toward friends and family when they are belittled, particularly on social media. According to experts, people feel the most gratitude when friends and family accuse them of things they did not do or intend, citing […]
  
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  Supervised learning is a part of machine learning that says that computers can work without the interference of humans. It is a quite technical subject which is being taught in schools and universities. Teachers have started giving assignments on supervised learning to clear the concepts of the students.
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  When the inputs are fed in the computer and the output is based on the example input-output pair it is known as supervised learning.
  The problems in supervised learning are divided into two groups that are classification and regression.
  To structure the algorithms that will be helpful in judgment in the future us the main purpose of the supervised learning.
  The different choices of algorithms are bias-variance tradeoff, noise in the output values, function complexity and amount of training data, dimensionally of the input space and others.
  There are various applications of supervised learning such as bioinformatics, handwriting recognition, information retrieval, database marketing, etc.
  The generalization of the supervised learning can be done in several ways such as semi-supervised learning, weak supervision, active learning, structured prediction, and learning to rank.
  Linear regression- Linear regression is the graphical representation of the dependent and independent variables. The relation is shown between the scaler response and multiple explanatory variables.