Machine LearningSemester Course

Program
Computer Science
Week-Long Study Tour
London or Germany
Core Course Week Study Tour
Sweden
Major Discipline(s)
Computer Science, Information Science, Mathematics
New Course Note
This course starts in Fall 2023.
Type
Core Course
Available
Fall/Spring semester
Credit(s)
3

Spotify, the Swedish giant, relies on machine learning to personalize the music experience of millions of users. Scania, the Swedish world-leader provider of transport solutions, utilizes machine learning to develop self-driving trucks. Sweden is a renowned hub for technical startups developing the future of machine learning. Applications include robotics, computer vision, speech recognition and synthesis, traffic predictions, and medical diagnostics.

Machine learning utilizes training data to develop models capable of identifying patterns, classifying large amounts of information, making predictions or decisions, and providing insights embedded in vast and complex data. This course offers a hands-on approach to the theory and practice of machine learning, with real-world applications. It focuses on training datasets, machine learning approaches, and the fitting and optimization of models.

Faculty

Per Hedbrant

DIS Stockholm Semester Faculty

MSc in Engineering Physics, Uppsala University BA in social sciences with Business as main field, Uppsala University Exchange studies, Nanyang Technological University, Singapore Consultant and manager, Netlight Consulting, 2016-present As a consultant, I work for a range of different clients. The following list is not exhaustive: Data analyst, client within music streaming, 2017-2018 Data & machine learning engineer, client within fintech, 2019-2020 Accountable lead for an AI team of 8 people, client within fintech, 2020-2020 teacher of data engineering and machine learning, client providing accelerated learning programs, 2021-2021 lead data engineer and architect, client within the real estate industry, 2021-2022 machine learning engineer, client within healthcare, 2023-present With DIS since 2022