数据智能工具箱

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数据智能工具箱是一站式的机器学习平台，平台的核心组件模块包括特征中心、分析中心、模型中心，构成了挖掘数据智能价值的“工具链”。业务人员无需高级技能，即可在平台上完成数据加工与建模，专注于业务探索和场景创新。

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精准营销：零售企业可以基于过往数据，识别不同用户的转化可能性。针对不同分层的用户采取不同营销策略，有效提升营销活动转化率；风险识别：风控部门通过算法学习黑名单数据的特征，可对暂未发生风险的实体进行风险评估，从而预先制定应对策略
用户画像：企业通过智能聚类算法，将用户分成相近的几类，通过分析得出不同用户群体的特征，形成洞察
综合打分：在各类评分的场景中，评分者需要根据多个分项分数来综合评定得出一个综合分。使用线性模型时的权重制定是一个难题，专家建模通过评分者输入的小样本的得分与排名，“理解”评分者的思路，给出推荐的综合打分的规则，从而把小样本的经验变成可量化的规则。

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机器学习基础一

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机器学习基础三

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机器学习基础五

机器学习基础六

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