# Seeking advice on learning ML

**URL:** <https://discourse.julialang.org/t/seeking-advice-on-learning-ml/31016>\
**Category:** Machine Learning\
**Created:** [November 12, 2019, 7:36pm UTC](https://discourse.julialang.org/t/seeking-advice-on-learning-ml/31016 "2019-11-12T19:36:45Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![pontus](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/pontus/32/10438_2.png) [@pontus](https://discourse.julialang.org/u/pontus)\
**Post date:** [November 13, 2019, 2:49am UTC](https://discourse.julialang.org/t/seeking-advice-on-learning-ml/31016/7 "2019-11-13T02:49:14Z")

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Thanks for raising the question! There is this recent text co-authored by @yoninazarathy and made available in draft form here: [https://people.smp.uq.edu.au/YoniNazarathy/julia-stats/StatisticsWithJulia.pdf](https://people.smp.uq.edu.au/YoniNazarathy/julia-stats/StatisticsWithJulia.pdf)

 ![2019-%20Klok%26Nazarathy-StatswithJulia-DS_ML_AI](https://global.discourse-cdn.com/julialang/original/3X/a/0/a0159c437517101b4523340a1bbf41ecc29dc960.png)  
(caught that in this post: [Multivariate Normal Distribution - #8 by yoninazarathy](https://discourse.julialang.org/t/multivariate-normal-distribution/29973/8))  
This seems relevant to your question in particular:

```julia
9 Machine Learning Basics - DRAFT . . . . . . . . . . . . . . . 311
9.1 Training, Validation and Testing . . . . . . . . . . . . . 311
9.2 Bias, Variance and Regularization . . . . . . . . . . . . . 312
9.3 Supervised Learning Methods . . . . . . . . . . . . . . . . 315
9.4 Unsupervised Learning Methods . . . . . . . . . . . . . . 324
9.5 Reinforcement Learning and MDP . . . . . . . . . . . . . . 333
9.6 A Taste of Generational Adversarial Networks . . . . . . . 340

```

It’s a beautifully typeset text, and you can copy the Julia examples right out of the pdf and generate the same output and plots to validate.  
There’s another good stats ref to pass along … thinking, or unthinking, let me dig it up…

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