KNIME Analytics Platform Machine Learning and AI focuses on building intelligent models using a visual, no-code/low-code workflow environment. It enables users to design, train, and evaluate machine learning models without extensive programming. This training explains how to apply supervised and unsupervised learning techniques such as classification, regression, clustering, and anomaly detection. It also covers data preprocessing, feature engineering, model validation, and AI workflow automation using KNIME nodes. You will learn how organizations use KNIME to build scalable AI solutions and integrate machine learning into business processes. The course also highlights best practices for creating efficient and production-ready AI workflows.
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