Welcome to the online workshop on Practical Machine Learning on Sept. 16-18 (2025). Machine learning (ML) is a rapidly growing field within artificial intelligence (AI) that focuses on building systems capable of learning from data. Instead of being explicitly programmed with detailed rules, the ML models identify patterns and make predictions or decisions based on historical data. This approach has revolutionized many industries, including healthcare, finance, marketing, and technology, enabling applications like personalized recommendations, fraud detection, and speech recognition. As the volume of data continues to grow, understanding ML concepts and techniques becomes increasingly important for anyone interested in working with data science or building intelligent systems.
This three half-day online workshop is meant to give a comprehensive introduction to the fundamental principles and practical aspects of ML. It will start from the fundamentls 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.
Through a combination of theory and hands-on exercises using using Python and popular libraries to construct and deploy simple ML models, attendees will gain a solid foundation in ML, and then apply ML knowledge in a capstone project, developing a complete ML pipeline to solve a practical problem.
This workshop is ideal for:
To ensure a smooth learning experience, participants should have:
By the end of the workshop, participants will:
Check out more upcoming events from ENCCS and our European network at https://enccs.se/events.
For questions regarding this workshop or general questions about ENNCS training events, please contact training@enccs.se
To ensure that everyone has the opportunity to participate, we kindly request that you let us know as soon as possible if you are unable to attend an event after registering.
Please send us an email at training@enccs.se to cancel your attendance.
We understand things can change, but repeated cancellations without notice may unfortunately result in your name being removed from future event registration lists.
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This training is for users who live and work in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 HERE.