Master Supervised Machine Learning! Unlock the potential of supervised learning in this engaging online course designed for students and postgraduates in computer science, applied physics, and materials science. Taught by Dr. Vitaliy Tymchyshyn and Dr. Volodymyr Bezguba, leading experts from Kyiv Academic University, the course provides 30 hours of self-paced study. You will explore foundational supervised machine learning methods, including naive Bayes, support vector machines, and random forests, while mastering techniques for training and optimizing algorithms with labeled data.This medium-level course combines theoretical insights with practical applications, offering a deep dive into feature engineering and algorithm selection. A solid understanding of higher mathematics, programming, and Python is recommended to fully benefit from the program. Hosted on the KAU online platform, it provides flexibility and interactive tests to enhance your learning experience.Part of the BOOSTalent project and recognized by the European Deep Tech Talent Initiative, the course is free of charge and awards 1 ECTS credit upon completion.Take the first step toward advancing your machine learning expertise today!
Join the course to see full details! The course is completely free.
