Final Exam: Advanced Math

Math    |    Intermediate
  • 1 Video | 32s
  • Includes Assessment
  • Earns a Badge
Final Exam: Advanced Math will test your knowledge and application of the topics presented throughout the Advanced Math track of the Skillsoft Aspire Essential Math for Data Science Journey.

WHAT YOU WILL LEARN

  • apply gradient descent to compute the factors of a ratings matrix
    build a baseline model using logistic regression
    build a logistic regression model using principal components
    compute a penalty for a large number of latent factors when computing the factors of a ratings matrix
    compute eigenvalues and eigenvectors
    compute the predicted ratings given by users for various items by using matrix decomposition
    decompose a ratings matrix into its latent factors
    define eigenvalues and eigenvectors
    define eigenvectors and eigenvalues
    define principal components and their uses
  • describe the intuition behind collaborative filtering, its main advantages, and how ratings matrices, the nearest neighbor approach, and latent factor analysis are involved
    describe the use cases of recommendation systems and the different techniques applied to build such models, with emphasis on the content-based filtering approach
    implement the gradient descent algorithm to decompose a ratings matrix
    mathematically compute principal components
    perform principal component analysis
    recall the intuition behind principal component analysis
    recall the use of matrix operations to represent linear transformations
    summarize the intuition behind collaborative filtering, its main advantages, and how ratings matrices, the nearest neighbor approach, and latent factor analysis are involved
    summarize the use cases of recommendation systems and the different techniques applied to build such models, with emphasis on the content-based filtering approach
    use NumPy and Pandas to define a ratings matrix that can be fed into a recommendation system

IN THIS COURSE

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    Advanced Math
    33s
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