22 results for “topic:linear-transformations”
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
An app for visualize linear transformations in 3 dimensions.
Open source machine learning library with various machine learning tools
COT5615 Math for Intelligent Systems Fall 2019
Here is the content of ML committe in season 2025
Linear Algebra Step by Step by Kuldeep Singh. Solved step by step through LaTeX
Vectors, matrices, linear equations, Gaussian elimination, vector geometry with dot product and vector product, determinants, vector spaces, linear independence, bases, change of basis, linear transformations, the least-squares method, eigenvalues, eigenvectors, quadratic forms, orthogonality, inner-product space, Gram-Schmidt's method.
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Digital image manipulation using Numpy
Visualizes the linear transformation represented by a 2x2 matrix
Vector Spaces, Linear Independence, Linear Transformations, Matrix Operations, Eigenvectors, Covariance Matrix, PCA, Kernel trick, Eigenfaces, Cluster Analysis
Lecture notes, assignments, and other materials for a one-semester introductory course on topics in linear algebra and computer science applications thereof.
Group project that performs linear transformations on images
Visualize Linear Transformations in 2D
Visualizador de Transformaciones Lineales
Linear Algebra Lab on Transformation Matrices by Taras Yaroshko, Anastasiia Petrovych and Yurii Zinchuk
R programming - Statistical Modelling II
A linear algebraic library. Includes Trigonometric, matrices, inner-product-spaces, general-vector-spaces, euclidean-vector-spaces, vectors in 2 and 3 spaces and linear transformations.
QSVT implementations and examples
Review the mathematics that comprise Artificial Neural Networks, apply linear transformations in Python, and build a logistic regression model with Keras
📚 Explore linear algebra concepts with this beginner-friendly guide, covering vectors, scalars, and more through clear explanations and practical examples.