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FRISAM, Understanding Machine Learning with KNIME
September 7, 2020
by Prof. Dr Martin Huber
This training is designed for anyone who wants to understand the basic concepts of machine Learning.
This lecture introduces data analytics and machine learning, including applications in the easy-to-use software “KNIME”. Data analytics aims at analysing data to detect informative patterns and draw conclusions about specific processes (like customer behaviour, production, turnover…). One subfield is (supervised) machine learning, which aims at predicting an outcome in the future, e.g. sales, based on analysing patterns of potentially relevant factors (or “predictors”) like price, quality, etc. in past data. This lecture discusses important tools for prediction (such as regression and decision trees), focusing on the intuition of the various methods rather than technical details. The tools are applied to the analysis of commercial data in “KNIME”, which is an open source software that is free of charge. “KNIME” is based on a graphical interface that represents all analytical steps by an intuitive flow chart and does not require programming skills. “KNIME” is therefore ideal for those interested in applying data analytics and machine learning without learning a programming language.