2023-07-29, 14:40–15:25 (Asia/Taipei), TR 410
Language: Traditional Chinese (Taiwan)
Organizations have been struggling to discover valuable insights in their massive data lake with machine learning because of the lack of data scientists and knowledge. Machine Learning is one of the most wanted capabilities on organizations’ transformation roadmap to be able to use machine learning to predict outcomes for critical decision-making for the business. MySQL HeatWave Automated Machine Learning (AutoML) is designed to enable you to explore and discover hidden insights with Automated Machine Learning technology.
In this session, you will learn about
• What you can do with HeatWave AutoML?
• How to use HeatWave AutoML?
• Rationalize prediction results with HeatWave's explaner function
入門
Target Audience –普羅大眾,開發者,資料科學家
Length of session –45 分鐘
Ryan Kuan
Cloud Evangelist, MySQL
Ryan Kuan is a Cloud Solutions Engineer who helps organisations to adopt cloud-native data architecture across the Asia Pacific regions at Oracle MySQL.
Ryan believes that organisations adopting cloud technology can focus and innovate their business entirely without worrying about the underlying IT infrastructure the business depends upon. He has helped many organizations adopt cloud-native data science capabilities to discover invaluable information and data insights to solve complex business problems.
Prior to joining Oracle MySQL, he worked in various roles such as Cloud Advisor, Solutions Architect, and Database Engineer at IBM, BEA Systems, and Informix respectively, he achieved various professional accreditations such as TOGAF, ITIL, and IBM certified professional architect.