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将人工智能用起来
2019年6月18-21日
北京,中国

人工智能培训

所有培训课程安排在6月18日周二及6月19日周三9:00 – 17:00。为了保证包括动手实践、与讲师互动等高水平学习体验每个培训课程都会把班级规模做一定限制。

参加学员应该参加两天完整课程。参加培训课程必须注册白金门票或培训门票;不包含周三教学辅导课

6月18日周二和6月19日周三的会议

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09:00 - 17:00 Tuesday, June 18 & Wednesday, June 19
Location: 多功能厅2(Function Room 2)
Jike Chong (Tsinghua University | Acorns), 黄铃 (Tsinghua University), 陈薇 (排列科技)
您想了解金融企业是怎样利用大数据和人工智能技术来画像个人行为并检测欺诈用户的吗?互联网金融幕后的量化分析流程是怎么杨的?个人信用是怎样通过大数据被量化的?在实践过程中,机器学习算法的应用存在着哪些需要关注的方面?怎样通过图谱分析来融合多维数据,为我们区分正常用户和欺诈用户? 这套辅导课基于清华大学交叉信息研究院开设的一门"量化金融信用与风控分析”研究生课。其中会用LendingClub的真实借贷数据做为案例,解说一些具体模型的实现。 了解更多信息.
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09:00 - 17:00 Tuesday, June 18 & Wednesday, June 19
Location: 多功能厅6A+B (Function Room 6A+B)
Rich Ott (The Data Incubator)
PyTorch is a machine learning library for Python that allows users to build deep neural networks with great flexibility. Rich Ott introduces you to the PyTorch workflow and explores how its easy-to-use API and seamless use of GPUs makes it a sought-after tool for deep learning. Join in to get the knowledge you need to build deep learning models using real-world datasets. 了解更多信息.
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09:00 - 17:00 Tuesday, June 18 & Wednesday, June 19
Location: 多功能厅5A+B(Function Room 5A+B)
Season Yang (McKinsey & Company)
Average rating: *****
(5.00, 1 rating)
The TensorFlow library contains computational graphs with automatic parallelization across resources, which is ideal architecture for implementing neural networks. Season Yang introduces TensorFlow's capabilities in Python, and you'll then get your hands dirty building machine learning algorithms piece by piece while using the Keras API provided by TensorFlow with several hands-on applications. 了解更多信息.