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Beijing, CN

Feature engineering: The missing link in applying machine learning to deliver business value

This will be presented in English.

Hendra Suryanto (Rich Data Corporation )
16:2017:00 Friday, April 13, 2018

必要预备知识 (Prerequisite Knowledge)

有基本的数学知识。
A basic understanding of mathematics

您将学到什么 (What you'll learn)

探索应用机器学习来提供商业价值的流程,重点关注深度学习、梯度提升和特征工程技术。
Explore a process applying machine learning to deliver business value, focusing on deep learning, gradient boosting, and feature engineering techniques

描述 (Description)

本讲话将用英语授课,同时会提供中文同声传译。中文版本摘要会在英文摘要下面给出。

Hendra Suryanto shares a case study from a Canadian financial lender that his company helped transition from manual to automated credit decisioning, using gradient boosting machine and deep learning to build the model. The process begins with prototyping, moves to production and automation, and ends up at operationalization, which involves translating predictions into decisions by incorporating the business rules and handing them over to the operations and business teams. In addition to modeling techniques, Hendra highlights the role feature engineering plays in improving model performance.


这是一个来自于加拿大的一家金融借贷公司的案例研究。我们帮助他们完成了从手工贷款审批到自动化的转变。整个过程从原型化开始,然后是生产部署后的自动化,再结合业务规则把预测转变成审批决策,并最终交付给运营和业务团队使用。



我们应用梯度增强机和深度学习来够建模型。除了建模技术,我们会特别强调特征工程在改进模型表现里所起的重要作用。



我们在行业专家的指导下手工进行了特征工程,这展示了创建好的特征是如何对交付更好的产出产生影响的。我们也探索了使用深度学习和增强学习来辅助特征工程。

Photo of Hendra Suryanto

Hendra Suryanto

Rich Data Corporation

Hendra Suryanto is chief data scientist at Rich Data Corporation. Hendra has over 20 years’ experience in data science, big data, business intelligence, and data warehousing spanning across data architecture, data science and data engineering, managing and designing end-to-end data analytics solution within Agile continuous delivery DevOps framework. Previously, Hendra was a lead data scientist in KPMG’s Advisory practice, where he advised KMPG’s clients globally in data science and big data projects, and worked for a number of leading organizations in various domain verticals, such as telecommunications, banking, fraud, risk, marketing, and insurance, including Westpac Bank, Commonwealth Bank Australia, Veda, Bupa, HCF, and Vodafone. Hendra holds a PhD in artificial intelligence, which he followed with postdoctoral research in machine learning.

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