There is no excerpt because this is a protected post.
Protected: ML: Topological data analysis-II
There is no excerpt because this is a protected post.
Protected: ML: Topological data analysis-I
There is no excerpt because this is a protected post.
ML/AI: k-nearest neighbor models from scratch
R,python, and julia all have nice knn packages for this very simple type of classification model, but the knn method is so simple that you are better off just hand-coding it. The idea is that in some dataset of points
ML/AI: Build a partition classifier in julia
R has a very nice library for creating tree partitions called rpart. Trees are linked lists, a self-referencing data structure that is pretty easy to implement in just about any programming language. Let’s create a julia mutable struct for a
Protected: ML: RandomForest regression in julia
There is no excerpt because this is a protected post.
Protected: AI/ML-6. ConvNets
There is no excerpt because this is a protected post.
Protected: AI/ML-5. On Flux convolutional and pooling layers
There is no excerpt because this is a protected post.
Protected: AI/ML-4.Image creation and manipulation in Julia
There is no excerpt because this is a protected post.
Protected: AI/ML-3. Flux loss functions
There is no excerpt because this is a protected post.
Protected: AI/ML-2. Flux.jl crash course. Layers, models, autodiff.
There is no excerpt because this is a protected post.