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现代商业领袖需要了解数据科学的基础知识。作家兼数据科学家霍华德·史蒂文·弗里德曼(Howard Steven Friedman)和阿克舍·斯瓦米纳坦(Akshay Swaminathan)认为,在追求宏大的商业目标时,公司的商业领袖及其数据科学团队必须合作。而实现有效合作的前提条件是领导者需要具备向数据专家阐明业务和需求的能力,并能够理解数据专家提出的解决方案。二位作者在这本数据科学实用指南提供了大量实例,帮助商业人士和企业家掌握数据科学的基础知识并将之应用于实际工作中。
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关于作者
霍华德·史蒂文·弗里德曼(Howard Steven Friedman)是一位在私营企业和公共部门都有经验的数据科学家。他是哥伦比亚大学(Columbia University)的兼职教授。他之前的著作包括《终极代价》(Ultimate Price)和《衡量国家》(Measure of a Nation)。阿克舍·斯瓦米纳坦(Akshay Swaminathan)是一位专注于健康系统的数据科学家。他是斯坦福大学医学院(Stanford University School of Medicine)的奈特-亨尼西学者(Knight-Hennessy scholar)——这是一个极具声望的奖学金项目,旨在培养能够应对21世纪复杂全球挑战的跨学科领导者。
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