Presented By
O’REILLY + INTEL AI

English中文
PUT AI TO WORK
June 18-21, 2019
Beijing, CN

Artificial Intelligence Training

All training courses take place 9:00 – 17:00, Tuesday, June 18 – Wednesday, June 19. In order to maintain a high level of hands-on learning and instructor interaction, each training course is limited in size.

Participants should plan to attend both days of this 2-day training course. To attend training courses, you must register for a Platinum or Training pass; does not include access to tutorials on Wednesday.

Tuesday, June 18 & Wednesday, June 19

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09:00 - 17:00 Tuesday, June 18 & Wednesday, June 19
Location: 多功能厅3A+B(Function Room 3A+B)
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。 Read more.
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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. Its easy to use API and seamless use of GPUs make it a sought after tool for deep learning. This course will introduce the PyTorch workflow and demonstrate how to use it. Students will be equipped with the knowledge to build deep learning models using real-world datasets. Read more.
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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)
The TensorFlow library provides for the use of computational graphs, with automatic parallelization across resources. This architecture is ideal for implementing neural networks. This training will introduce TensorFlow's capabilities in Python. It will move from building machine learning algorithms piece by piece to using the Keras API provided by TensorFlow with several hands-on applications. Read more.
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09:00 - 17:00 Tuesday, June 18 & Wednesday, June 19
Location: 多功能厅2(Function Room 2)
Jesse Anderson (Big Data Institute)
Jesse Anderson leads a deep dive into Apache Kafka. You'll learn how Kafka works and how to create real-time systems with it. You'll also discover how to create consumers and publishers in Kafka and how to use Kafka Streams, Kafka Connect, and KSQL as you explore the Kafka ecosystem. Read more.