AML_using_Julia

Two cats🐱🐱 believe in Julia.

We are trying to re-write all AML lab materials using Julia.

 ✅ |----Lab1&2: Linear Regression and Logistic Regression 
        |----Lab01.ipynb
        |----iris.csv
        |----Advertising.csv
 ✅ |----Lab3: Convex Optimisation
        |----Lab03.ipynb
        |----iris.csv
 ✅ |----Lab5: Approximation Error and Estimation Error
    |----Lab6: Matrix Factorisation 
    |----Lab7: Learning with Noisy Data
    |----Lab8: Sparsing Coding
    |----Lab9: Domain Adaption and Transfer Learning 
    |----Lab10: Causal Inference
    |----Lab11: Label Noise
    |----Lab12: CoTrainig and CCA
    |----Lab13: MTL

Ref:

1. Introducing Julia (Julia wikibook) https://en.wikibooks.org/wiki/Introducing_Julia
2. Julia docs https://docs.julialang.org/en/v1/