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Machine learning – From Mathematical Foundations to advanced optimization

###The course contains mathematical examples to work on during the session or to get a quick recap

Examples were proactively curated for the multidisciplinary audience

  1. Linear Algebra
  2. Matrices
  3. Toy training
  4. Optimization
  5. Classification from curated data

Expectation of the course: We encourage active engagement from all participants, regardless of their disciplinary background. Moreover, the course includes interactive examples to enhance data derived understanding for the given challenge and encourage future collaborations between departments.

Python notebooks and materials Data Science Seminar Institute of Cancer Research, November 2025

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Data Science Seminar Series (ICR Learning and development)

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