Math for Machines
About
Kaggle Courses
Kaggle Competitions
Archive
Recent Posts
Visualizing What Convnets Learn
Visualizing the Loss Landscape of a Neural Network
Getting Started with TPUs on Kaggle
Six Varieties of Gaussian Discriminant Analysis
Optimal Decision Boundaries
Least Squares with the Moore-Penrose Inverse
Understanding Eigenvalues and Singular Values
Visualizing Linear Transformations
What I'm Reading 1: Bayes and Means
investmentsim - an R Package for Simulating Investment Portfolios
Posts tagged "geometry"
Visualizing Linear Transformations
- November 12, 2019
Tags
bayesian
BMA
calculator
category-theory
classification
convnets
coordinates
covectors
cql
data-science
decision-boundaries
deep-learning
eigenvalues
engrams
finance
functional-programming
generalized-inverse
geometry
haskell
investing
julia
kaggle
LDA
least-squares
linear-algebra
linear-equations
matrix-decomposition
MCMC
memory
moore-penrose-inverse
neural-networks
neuroscience
NLP
numpy
python
QDA
R
ReLUs
retirement
review
sage
sgd
simulation
singular-values
stacking
talk
tensorflow
tensors
tpus
tutorial
vectors
visualization
Links
R-bloggers