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The fifth lecture from the Machine Learning course series of lectures. It covers short history, basic types and most important principles of neural networks. A link to my github (https://github.com/skyfallen/MachineLearningPracticals) with practicals that I have designed for this course in both R and Python. I can share keynote files, contact me via e-mail: firstname.lastname@example.org.