Power BI Fundamentals - Create visualizations and dashboards from scratch
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This course surveys unsupervised learning methods including clustering, dimensionality reduction, topic modeling, matrix factorization, and neural generative models. It connects matrix factorization to movie recommendation and SVD to image compression.
Syllabus
Gaussian Mixture Models.
Clustering: K-means and Hierarchical.
Principal Component Analysis (PCA).
How does Netflix recommend movies? Matrix Factorization.
Latent Dirichlet Allocation (Part 1 of 2).
Training Latent Dirichlet Allocation: Gibbs Sampling (Part 2 of 2).
Restricted Boltzmann Machines (RBM) - A friendly introduction.
Singular Value Decomposition (SVD) and Image Compression.
Denoising and Variational Autoencoders.
A Friendly Introduction to Generative Adversarial Networks (GANs).
Taught by
Serrano.Academy