mathematical methods for neuroscience and machine learning
All classes are in Seminar (except July 22 is in Auditorium)
We will also have office hours each Wednesday 1-3pm (in 2W.124 POD). You can also post questions to the Janelia slack #mathclub thread.
derivatives, chain rule, gradients, Lagrange multipliers
Other resources
vector/matrix multiplication, basis vectors, span, subspaces, eigenvalues/vectors
June 24: lecture NOTES
June 27: lecture NOTES
Other resources
Eigenvalues/vectors, linear differential equations, PCA and SVD derivations
Resources
linear regression - derivation, application and non-linear approaches
Resources
random variables, gaussian/poisson distributions, moments, central limit theorem
Resources
log likelihood, analytical derivation of spike rate for a poisson model
Resources