Description

      Generative AI is popular nowadays, and we have seen lots of use cases applied on image and text data. Have you ever used it on tabular data? In this talk, Hanhan is going to share her experiments and findings on generating synthetic tabular data using latest tabular generative adversarial networks (TGANs). 

Learning points: 

- Understand how does GANs work to generate synthetic data 

- Understand how does latest (2019 ~ 2023) TGANs work to generate tabular synthetic data 

- See experiments and results 

- A tip to improve TGANs performance on generating synthetic data 

- Discuss questions, your experience or thoughts


Local ODSC chapter in NYC, USA

Instructor's Bio

Hanhan Wu

Senior Manager of Data Science at Scotiabank

Hanhan has been working in data science domain for 11 years, gaining experience in big data engineering and the full lifecycle of delivering machine learning products. In her leisure time, she engages in various data science side projects to stay current with the latest technology trends. For more information, you can visit her LinkedIn profile: https://www.linkedin.com/in/hanhanwu/

Webinar

  • 1

    ON-DEMAND WEBINAR: "Generate Synthetic Tabular Data with GANs"

    • Ai+ Training

    • Webinar recording

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