Mathematics for ML: PCA

Mathematics for ML: PCA

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Apply mathematical concepts to real-world data, derive PCA from a projection perspective, comprehend orthogonal projections, and master Principal Component Analysis.

Key AI Functions:Dimensionality Reduction,Python Programming,Linear Algebra

Description for Mathematics for ML: PCA

Features of Course

  • Utilize real-world data to apply mathematical concepts
  • From a projection standpoint, derive PCA.
  • Understand the operation of orthogonal projections
  • Master Principal Component Analysis
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by Imperial College London

    Duration: 20 hours (approximately)

    Schedule: Flexible

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