摘要
由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据来自希腊塞萨洛尼基的新sRx记者的消息，研究表明，“零售需求预测是一个高度复杂和多层次的问题，因为它可能包括多种类别的多种产品，并且可能在许多不同的商店销售。预测也可能单独或集体地对产品进行预测，以检测相互关联。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news originating from Thessaloniki, Greece, by New sRx correspondents, research stated, “Retail demand forecasting is a highly intr icate and multilevel problem as it may include numerous products, under multiple categories, and potentially sold in many different stores. Forecasts may also p rocess products in isolation or collectively so as to detect mutual correlations .”
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NSTL