├── .gitignore ├── AdvancedGPU ├── .gitignore ├── 1-1-cuda_libraries.ipynb ├── 1-2-programming_models.ipynb ├── 1-3-memory_management.ipynb ├── 1-4-concurrent_computing.ipynb ├── 2-1-application_analysis_optimization.ipynb ├── 2-2-kernel_analysis_optimization.ipynb ├── Manifest.toml ├── Project.toml └── README.md ├── DataScience ├── 01. Data.jl ├── 03. Statistics.jl ├── 07. Regression.jl ├── Manifest.toml ├── Project.toml └── data │ ├── 0201.png │ ├── 0202.png │ ├── 0301.png │ ├── 0401.png │ ├── 0501.png │ ├── 0502.png │ ├── 0701.png │ ├── 0801.png │ ├── 1001.png │ ├── 1201.png │ ├── 1202.png │ ├── california-counties.json │ ├── california_shape.json │ ├── faithful.JPG │ ├── format.png │ ├── khiam-small.jpg │ ├── matrix_storage.png │ ├── mytempdata.jld │ ├── mytempdata.mat │ ├── mytempdata.npz │ ├── mytempdata.rda │ ├── mywrite.jld │ ├── mywrite.mat │ ├── mywrite.npz │ ├── mywrite.rda │ ├── programming_languages.csv │ ├── stock_prices.xlsx │ └── zillow_data_download_april2020.xlsx ├── Introduction ├── 00. VSCode.jl ├── 01. Arithmetic, Assignment, and Strings.jl ├── 02. Arrays and Loops.jl ├── 03. Functions and Broadcasting.jl ├── 04. Data structures.jl ├── 05. Packages.jl ├── 06. Plotting.jl ├── 07. Basic-linear-algebra.jl ├── 08. Factorizations-and-other-fun.jl ├── 09. Image compression exercise.jl ├── 10. Multiple-dispatch.jl ├── 10.1. Multiple-dispatch.jl ├── 11. Types.jl ├── 12. OneHot Vector.jl ├── 13. Iterators.jl ├── 14. ModInt.jl ├── 15. Index Iterators.jl ├── 16. Metaprogramming.jl ├── 17. Julia-is-fast.jl ├── 18. Autodiff.jl ├── 19. Measurements and Unitful.jl ├── 20. Calling C.jl ├── 21. Calling Python.jl ├── 22. DataFrames.jl ├── 23. HTTP APIs.jl ├── Day One Exercises.jl ├── Manifest.toml ├── Project.toml ├── README.md ├── demo.png ├── hello.c ├── images │ ├── banana.jpg │ ├── banana_10svals.png │ ├── banana_30svals.png │ ├── banana_3svals.png │ └── banana_5svals.png ├── kahan.jpg ├── my_agenda.png └── my_agenda.svg ├── LinearAlgebra ├── 01 Sparse Matrices.jl ├── 02 Banded Matrices.jl ├── Manifest.toml └── Project.toml ├── MachineLearning ├── 01. ML - Representing data in a computer.jl ├── 02. Tools - Using arrays to store data.jl ├── 03. ML - Representing data with models.jl ├── 04. Tools - Functions.jl ├── 05. ML - Building models.jl ├── 06. Tools - Adding a function parameter.jl ├── 07. ML - Model complexity.jl ├── 08. Tools - Multiple function parameters.jl ├── 09. ML - What is learning.jl ├── 10. Tools - Minimizing functions - how a computer learns.jl ├── 11. ML - Intro to neurons.jl ├── 12. Tools - Learning with a single neuron.jl ├── 13. ML - Intro to Flux.jl.jl ├── 14. Tools - Learning with a single neuron using Flux.jl.jl ├── 15. ML - Intro to neural networks.jl ├── 16. Tools - Using Flux to build a single layer neural net.jl ├── 17. ML - Introduction to deep learning.jl ├── 18. Tools - Multi-layer neural networks with Flux.jl ├── 19. Recognizing handwriting using a neural network.jl ├── 20. Automatic Differentiation in 10 Minutes.jl ├── 20.1. Differentiable Programming.jl ├── 21. Express path to classifying images.jl ├── 22. Variations of sum.jl ├── 23. Digit recognition with Flux.jl ├── data │ ├── 104_100.jpg │ ├── 107_100.jpg │ ├── 10_100.jpg │ ├── 17-linear1.png │ ├── 17-linear2.png │ ├── 17-nonlinear1.png │ ├── 17-nonlinear2.png │ ├── 17-raw.png │ ├── 8_100.jpg │ ├── Apple_Braeburn.dat │ ├── Apple_Golden_1.dat │ ├── Apple_Golden_2.dat │ ├── Apple_Golden_3.dat │ ├── Banana.dat │ ├── Celeste.png │ ├── Grape_White.dat │ ├── Grape_White_2.dat │ ├── apples.dat │ ├── array2d.png │ ├── array_cartoon.png │ ├── array_comprehension.png │ ├── bananas.dat │ ├── data_flow.png │ ├── deep-neural-net.png │ ├── fruit-salad.png │ ├── model_fitting.png │ ├── philip.jpg │ ├── single-layer.png │ ├── single-neuron.png │ ├── what_is_model.png │ └── without_arrays.png ├── draw_neural_net.jl └── sol │ ├── 01. ML - Representing data in a computer.jl │ ├── 02. Tools - Using arrays to store data.jl │ ├── 03. ML - Representing data with models.jl │ ├── 04. Tools - Functions.jl │ ├── 05. ML - Building models.jl │ ├── 06. Tools - Adding a function parameter.jl │ ├── 07. ML - Model complexity.jl │ ├── 08. Tools - Multiple function parameters.jl │ ├── 09. ML - What is learning.jl │ ├── 10. Tools - Minimizing functions - how a computer learns.jl │ ├── 11. ML - Intro to neurons.jl │ ├── 12. Tools - Learning with a single neuron.jl │ ├── 13. ML - Intro to Flux.jl.jl │ ├── 14. Tools - Learning with a single neuron using Flux.jl.jl │ ├── 15. ML - Intro to neural networks.jl │ ├── 16. Tools - Using Flux to build a single layer neural net.jl │ ├── 17. ML - Introduction to deep learning.jl │ ├── 18. Tools - Multi-layer neural networks with Flux.jl │ ├── 19. Recognizing handwriting using a neural network.jl │ ├── 20. Automatic Differentiation in 10 Minutes.jl │ ├── 21. Express path to classifying images.jl │ └── 22. 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