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Apache-2.0

《智能风控实践指南:从模型、特征到决策》

今年6月,我和团队一起创作的书籍《智能风控实践指南:从模型、特征到决策》终于出版,完成自己的一个心愿。过去10年在金融科技、数据挖掘领域的工作中,我逐步积累起一套智能风控方法体系,尝试将碎片化的模型、特征、策略知识点,融入到这套完整的框架中。希望通过本书将自己和团队在智能风控方面的思考、探索和实践进行分享,与同行的朋友或者将要入行的朋友进行交流探讨。

书籍的购买链接也放这里提供给有缘的朋友:

配套代码说明

  • 请建立Python3环境运行本书代码
  • chapter2到4为对应章节的代码
  • utils为公共基础代码
  • data为数据文件
  • requirements.txt为本代码所依赖的包说明

书籍主要章节

本书整体贯穿了智能风控模型、特征和策略以及智能风控管理,读者可以按顺序阅读或者根据自身知识背景有选择地阅读相应章节。 以下是《智能风控实践指南:从模型、特征到决策》主要章节:

  • 第1章介绍了智能风控技术的发展历史和智能风控的相关概念和应用;
  • 第2章介绍了搭建智能风控模型的方法、智能算法、模型优化、模型体系等,并融合模型开发实践经验;
  • 第3章介绍了搭建特征画像的方法、智能算法、特征挖掘、特征画像体系等,并融合特征挖掘实践经验;
  • 第4章介绍了搭建智能风控策略的方法、智能算法、策略体系、策略监控等,并融合策略实践经验;
  • 第5章介绍了智能决策与人的经验结合,剖析智能风控中的局限以及如何发挥人的价值;
  • 第6章介绍了智能风控相关的管理经验,解读智能风控中的一系列管理原则。

作者简介

蒋宏
资深风控算法专家、数据科学家,长期从事风控模型算法和应用方面工作,带领模型团队建立智能风控体系,在风控模型、智能算法、数据挖掘、科学决策方向有深入研究和实践。拥有德勤咨询、百融云创等知名企业工作经验。上海交通大学学士、清华大学MBA。
王欢
高级数据算法工程师,中国科学院软件研究所计算机硕士,参与国内及海外多个业务线的风控搭建、建模及特征工作,在风控模型和特征挖掘方面有丰富的实践经验。
王超
高级风控算法工程师,历任多家知名金融科技公司算法工程师、建模咨询师,擅长风控模型、风控策略等智能风控研究方向,致力于应用深度学习等前沿技术推动智能风控的发展。
马海彪
风控算法专家,北京航空航天大学硕士,擅长机器学习模型、数据挖掘、风控模型开发等,对风控业务有丰富的实践经验和深刻的理解。

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简介

《智能风控实践指南:从模型、特征到决策》代码。 《智能风控实践指南:从模型、特征到决策》主要面向信贷风控行业的广大从业人员,如风控模型开发、特征挖掘、策略分析人员,以及与风控紧密配合的技术开发、产品经理、审批催收人员等,或者对互联网金融和智能风控感兴趣的读者。本书既可作为风控算法研究和开发人员的技术参考书,也可作为对风控算法感兴趣的读者的入门书。 展开 收起
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