A three hour webinar in Machine Learning
This three hour online webinar is meant to give a comprehensive introduction to the fundamental principles and practical aspects of ML. It will start from the fundamentals of ML including basic concepts, ML types, and representative applications of ML, and then progress to practical techniques for data preprocessing, model selection, training, evaluation, and assessment.
Participants will explore supervised (classification and regression) and unsupervised (clustering and dimensionality reduction) tasks using varied ML algorithms, such as k-nearest neighbors (KNN), linear/logistic regressions, decision tree, random forest, support vector machine (SVM), naive bayes, k-means, and neuron networks.
Feel free to join (and leave) whenever depending on your interest. The online event is open for all present and prospective Berzelius user.
For more information and registration, please visit: Berzelius Training - Practical Machine Learning