摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据来自澳大利亚墨尔本的News Rx记者的报道，研究表明：“大规模分类数据集在机器学习中无处不在，大多数部署的机器学习模型的成功取决于特征设计的效率。对于大规模数据集，通常使用参数化方法，其中三种特征设计策略相当常见。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Melbourne, Australia, by News Rx correspondents, research stated, “Large scale categorical datasets are ubiqui tous in machine learning and the success of most deployed machine learning model s rely on how effectively the features are engineered. For large-scale datasets, parametric methods are generally used, among which three strategies for feature engineering are quite common.”
NETL
NSTL