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Linnaeus University (Kalmar Växjö)
Advanced statistical machine learning
Embark on a dynamic journey into the cutting-edge realm of statistical learning with our exciting introductory course! This comprehensive program seamlessly integrates theoretical knowledge with hands-on experience in machine learning methods, empowering students to master the art of data-driven decision-making. Div…
- Higher education
- Information unavailable
- 5 October 2026
- Information unavailable
- Information unavailable
- 100 %
Overview
Embark on a dynamic journey into the cutting-edge realm of statistical learning with our exciting introductory course! This comprehensive program seamlessly integrates theoretical knowledge with hands-on experience in machine learning methods, empowering students to master the art of data-driven decision-making. Dive into the world of statistical software and harness the power of deep learning components as you work with diverse real-world datasets. Our unique approach combines insightful projects that illuminate both the theoretical intricacies and the practical applications of machine learning. Gain proficiency in industry-relevant tools like R, equipped with libraries such as Keras and TensorFlow. Elevate your skills with an exploration of neural networks, deep learning architectures, and optimization techniques. From unraveling the mysteries of bias-variance tradeoff to tackling real-world challenges, this course promises an immersive and transformative learning experience. Join us and unlock the doors to a future where you're not just learning about machine learning – you're living it!
Admission scores
Entry requirements
Specific entry requirements: 15 credits in statistics, as well as English 6, or the equivalent.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-10-05
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lnu.4na910.k0468.20262
- Last checked
- 2026-09-23T10:38:15.020499+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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- Programme or course starts
- Programme or course ends
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About the provider
Linnaeus University (Kalmar Växjö)
Provider for the published education offering.
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lnu.4na910.k0468.20262
- Offering identity in the source
- e.uoh.lnu.4na910.k0468.20262
- Education-form source code
- HS
- Education code in the source
- 4NA910
- Change time according to the source
- 2026-02-06T10:56:33
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.