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SUMMARY:Computer science in medicine\, introduction into Machine learning\, traditional learning models  – workshop 3
DESCRIPTION:Workshop 3: Computer science in medicine\, introduction into Machine learning\, traditional learning models (Decision trees\, K-NN\, Perceptron\, SVM\, Bagging – Boosting (random forest\, Adaboost)\, etc.)\nBranimir Ljubic presents the third workshop: “Computer science in medicine\, introduction into Machine learning\, traditional learning models (Decision trees\, K-NN\, Perceptron\, SVM\, Bagging – Boosting (random forest\, Adaboost)\, etc.)” within the series of workshops: “Clinical informatics\, Data science in medicine\, Advanced computing.” The third workshop will cover traditional Machine Learning methods. \n**NOTE** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Branimir Ljubic.\n\nRegister to attend the workshop:\n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/clinical-informatics-workshop3-10-14-21/
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