首页|Study Results from Computer Science Department Update Understanding of Machine L earning (Supervised Machine Learning a Brief Survey of Approaches)
Study Results from Computer Science Department Update Understanding of Machine L earning (Supervised Machine Learning a Brief Survey of Approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on artificial intelligence are discussed in a new report. According to news reporting out of the Computer Scien ce Department by NewsRx editors, research stated, "Machine learning has become p opular across several disciplines right now. It enables machines to automaticall y learn from data and make predictions without the need for explicit programming or human intervention." The news journalists obtained a quote from the research from Computer Science De partment: "Supervised machine learning is a popular approach to creating artific ial intelligence. A computer algorithm is trained on input data that has been la beled for a certain output, making it one of two major areas of machine learning that has seen a lot of successful research. The model is trained until it can i dentify the underlying correlations and patterns between the input and output la bels, enabling it to generate accurate labeling results when confronted with une xplored data. Supervised learning is good at solving classification and regressi on problems. The problem of regression occurs when the outputs are continuous, w hile the problem of classification occurs when the outputs are categorical. We w ill concentrate on the benefits and drawbacks of supervised learning algorithms in this review. Creating a precise model of the distribution of class labels in terms of predictor features is the aim of supervised learning."
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