Linear algebra for machine learning using Numpy - LinAlg_Round1
EGP 800.00
By Randa Elanwar
- randa.elanwar@eri.sci.eg
Starts on 15-Feb-2022
Category: Mathematics
Level: Beginner
Description
•Linear Algebra fundamentals: Vectors and matrices •Introduction to Numpy: matrix manipulation and built-in functions, plotting with Matplotlib •Vector Spaces, bases and dimension: spans, linear combination and Linear independence of vectors, Changing bases •Linear transformation using matrices: scaling, reflection, rotation, shear •Matrix Determinant, inverse, Solving linear equations sys •Eigenvalues and eigenvectors •Principal component analysis: definition and code example •Revision+ Coding practice session: solving a real problem in python and Numpy.
Prerequisites
Python programming language
