# Almost ready: an introductory course on Scientific Programming and Machine Learning with Julia

**URL:** https://discourse.julialang.org/t/almost-ready-an-introductory-course-on-scientific-programming-and-machine-learning-with-julia/78559
**Category:** Community
**Created:** [March 27, 2022, 5:14pm UTC](https://discourse.julialang.org/t/almost-ready-an-introductory-course-on-scientific-programming-and-machine-learning-with-julia/78559 "2022-03-27T17:14:55Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![sylvaticus](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/sylvaticus/32/203883_2.png) [@sylvaticus](https://discourse.julialang.org/u/sylvaticus)
#### Post date: [March 27, 2022, 5:14pm UTC](https://discourse.julialang.org/t/almost-ready-an-introductory-course-on-scientific-programming-and-machine-learning-with-julia/78559/1 "2022-03-27T17:14:55Z")

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Not yet there, as I still need to (heavily) rearrange the course navigation and the content of the first introductory lesson on both the Julia & ML parts, but the content is indeed pretty ready (I will add random forests, clustering and perhaps reinforcement learning in a second version).

Just to ask if I am really saying something really wrong, in particular on the ML/Perceptron general ideas ([here the page](https://sylvaticus.github.io/SPMLJ/dev/03_-_ML1_-_Introduction_to_Machine_Learning/0301-MachineLearningMainIdeas.html), [here the videos](https://www.youtube.com/watch?v=JuqCxqLik0s&list=PLDIpPSqVuMmL9JsL_hDdciDvreAOtQg3v)) and the Neural Networks ([page](https://sylvaticus.github.io/SPMLJ/dev/04_-_NN_-_Neural_Networks/0401_NeuralNetworksTheory.html), [videos](https://www.youtube.com/watch?v=4m_BzDV15XQ&list=PLDIpPSqVuMmIvTA3w7ATUKHzq82uey8pP)).

I am pretty proud of some of my original figures 🙂