Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Visual Introduction to Singular Value Decomposition (SVD)Learn about the SVD using visualization of matrix transformations.Apr 20, 2021Apr 20, 2021
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Eigenvectors and application to PCAUnderstand eigenvectors and eigenvalues and how they relate to Principal Component Analysis (PCA)Feb 23, 20212Feb 23, 20212
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Basis and Change of BasisUnderstand the linear algebra concept of basis useful for eigendecomposition and SVD.Feb 1, 20211Feb 1, 20211
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Introduction to Systems of Linear EquationsUnderstand and visualize the row and column picture of system of linear equationsJan 13, 2021Jan 13, 2021
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Matrices as Linear TransformationsUnderstand and visualize matrices as space transformationsDec 29, 2020Dec 29, 2020
Hadrien JeaninTowards Data ScienceIntroduction to Matrices and the Matrix ProductBuild a good understanding of one of the building blocks of linear algebra: matrices and their product.Dec 16, 2020Dec 16, 2020
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Introduction to Linear AlgebraLearn about scalars, vectors, and the dot product.Dec 10, 2020Dec 10, 2020
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Information TheoryEntropy, cross-entropy, log loss, and KL divergenceDec 2, 2020Dec 2, 2020
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: The Poisson DistributionLearn about this important discrete distribution through code and example.Nov 24, 20201Nov 24, 20201
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Area Under The ROC Curve and IntegralsLearn about integrals and model performance comparison using the area under the ROC curveNov 5, 20202Nov 5, 20202