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QUINTBRIDGE · 〒534-0024 大阪府大阪市都島区東野田町4丁目15番82号
This seminar explores practical applications of causal data analysis using no-code tools, co-hosted by the AIST Artificial Intelligence Technology Consortium's Data and Knowledge Fusion WG and Data Mining WG. The event covers an introduction to Bayesian networks, hands-on workshops for causal analysis and survey design, and case studies on AI-driven operational reform in the railway industry. It is designed for engineers, data analysts, educators, and those interested in advancing their data science capabilities beyond basic statistical methods, providing opportunities for discussion and practical insights into problem-solving through data.
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