Robotics & Machine Learning Daily News2024,Issue(Jun.25) :78-79.

Study Results from Computer Science Department Update Understanding of Machine L earning (Supervised Machine Learning a Brief Survey of Approaches)

计算机科学系的研究结果更新了对机器学习的理解(监督机器学习方法的简要调查)

Robotics & Machine Learning Daily News2024,Issue(Jun.25) :78-79.

Study Results from Computer Science Department Update Understanding of Machine L earning (Supervised Machine Learning a Brief Survey of Approaches)

计算机科学系的研究结果更新了对机器学习的理解(监督机器学习方法的简要调查)

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摘要

一位新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-在一份新的报告中讨论了人工智能的研究结果。根据NewsRx编辑在计算机科学系的新闻报道,研究表明:“机器学习现在已经成为几个学科的主流。它使机器能够自动地从数据中学习并做出预测,而不需要显式编程或人工干预。”新闻记者从计算机科学部的研究中得到一句话:“有监督的机器学习是创造人工智能的一种流行方法。计算机算法是在输入数据上训练的,这些数据是为了一定的输出。”这使得它成为机器学习的两个主要领域之一,已经有很多成功的研究。这个模型经过训练,直到它能够识别输入和输出之间的潜在相关性和模式,有监督学习能够很好地解决问题的分类和回归问题,当输出是连续的时,回归问题就会出现。摘要:当输出是分类的时候,分类问题就会出现.本文重点讨论监督学习算法的优缺点.根据预测特征建立一个精确的类别标签分布模型是监督学习的目标.

Abstract

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."

Key words

Computer Science Department/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Supervised Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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