Statistical machine learning

Education facts

Code: 1ST910

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!

Entry requirements

Statistics 15 credits (descriptive statistics, statistical inference, and regression analysis), or the equivalent. English 6, or the equivalent.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Statistical machine learning

  Linnaeus University (Kalmar Växjö)

  Start date: 5 October 2026

  End date: 8 November 2026

  Pace of study: 100 %