This document summarizes a presentation about machine learning research at blibli.com. It introduces Hendri Karisma, a senior R&D engineer at blibli.com working on fraud detection and recommendation systems. Key topics covered include definitions of informatics and machine learning, machine learning techniques like supervised and unsupervised learning, tools used for machine learning in Java like Weka and H2O, and applications of AI in industry like fraud detection, recommendations, and social media analysis. Complexities of machine learning discussed include dealing with big data, knowledge representation, feature engineering, and use of high performance computing resources.
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