Statistics: Advanced Machine Learning
Lund University
Startdatum:
Slutdatum:
Studietakt: 50 %
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Kod: STAN52
<p>What if you could train a computer to learn from data - and improve over time, just like humans do? Machine learning is a powerful set of tools for uncovering patterns, making predictions, and supporting data-driven decisions.</p><p>Building on the foundations from STAN51 Statistics: Machine Learning from a Regression Perspective, this course introduces you to more advanced machine learning techniques with a focus on applications in business and economics.You will learn about:</p><ul><li>bootstrap methods for assessing model stability and uncertainty</li><li>ensemble techniques such as boosting and random forests for improving predictive performance</li><li>unsupervised learning methods including principal component analysis and clustering</li><li>applied machine learning for real-world problems, including causal inference in economic and business contexts.</li></ul>
90 credits in Statistics with at least 7.5 credits in Regression Analysis or Econometrics and also STAN51 Statistics: Machine Learning from a Regression Perspective, or the equivalent.
Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.
Lund University
Startdatum:
Slutdatum:
Studietakt: 50 %
Hämtad: .
Publicerad: .
Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2026-02-10T09:40:13