This course gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for ...

linear algebra in terms of vectors and matrices, with applications to and linear equation systems. Skills. You should be able to. solve more sophisticated calculus problems than what is covered in ...

machine-learning statistics neural-network optimization matrix linear-algebra automatic-differentiation regression autograd numerical-calculations scientific-computing topic-modeling ndarray plotting ...

Covers applied analysis techniques & results: approx. theory, asymptot. anal., calculus of var., integral eqs & transforms, ODE, PDE, delay differential eqs ...

Differentiation and Integration, Optimisation, Sets, Matrices, Linear algebra and Linear programming: Statistical Methods in Economics: Measures of central tendency and dispersions, Probability, Time ...

Linear Algebra and Statistics library for Scala.js, JVM, and Native. machine-learning statistics vector matrix linear-algebra scalajs scala3 principal-component-analysis scala-native ...