# So I think I've learned the basics of Julia, where do I learn some more advanced content? (specifcally image feature extraction)

**URL:** <https://discourse.julialang.org/t/so-i-think-ive-learned-the-basics-of-julia-where-do-i-learn-some-more-advanced-content-specifcally-image-feature-extraction/34108>\
**Category:** Machine Learning\
**Created:** [February 3, 2020, 9:55am UTC](https://discourse.julialang.org/t/so-i-think-ive-learned-the-basics-of-julia-where-do-i-learn-some-more-advanced-content-specifcally-image-feature-extraction/34108 "2020-02-03T09:55:53Z")\
**Posts on this page:** 1\
**Showing post:** 4

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**Author:** ![rajnrao](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/rajnrao/32/20637_2.png) [@rajnrao](https://discourse.julialang.org/u/rajnrao)\
**Post date:** [December 30, 2020, 2:01pm UTC](https://discourse.julialang.org/t/so-i-think-ive-learned-the-basics-of-julia-where-do-i-learn-some-more-advanced-content-specifcally-image-feature-extraction/34108/4 "2020-12-30T14:01:00Z")

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In case you want to go even deeper (pun intended 🙂 ), we’re doing an online course at the University of Michigan. See

> [@U. Michigan Online Course Computational ML for Scientists and Engineers](https://discourse.julialang.org/t/u-michigan-online-course-computational-ml-for-scientists-and-engineers/52574):
>
> The University of Michigan’s Continuum Jumpstart Course Computational Machine Learning (ML) for Scientists and Engineers is designed to equip you with the knowledge you need to understand, train, design and machine learning algorithms, particularly deep neural networks, and even deploy them on the cloud. You’ll learn by programming machine learning algorithms from scratch in a hands-on manner using a one-of-a-kind cloud-based interactive computational textbook that will guide you, and check you…

Just FYI - we do Julia from start to finish wth PyTorch/Keras sprinkled in so you can become bilingual and also appreciate all that Julia does really well.

Either way, hope you are enjoying learning ML – it’s a great time for that with so many excellent resources out there.

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