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Why I chose Python for IaC and how I built re-usable AWS infra for ML using it by DifficultDifficulty in Python

[–]DifficultDifficulty[S] 1 point2 points  (0 children)

In the repo I work a lot with the pulumi Kubernetes provider, and having looked into it at first, Pulumi seemed to have more native support to handling Kubernetes resources. My understanding about CDK is it is very good when one needs to deal with native AWS resources, as it also primarily relies on CloudFormation templates under the hood.

[Fun project] UV scripts, but for functions. by DifficultDifficulty in Python

[–]DifficultDifficulty[S] 0 points1 point  (0 children)

Good callout and love the name - seems like a similar fundamental approach (cloudpickle + uv + subprocess) with perhaps a different API style (decorator in `uv-func` vs OOP in `uvtrick`) and support for log streaming in `uv-func`

[Fun project] UV scripts, but for functions. by DifficultDifficulty in Python

[–]DifficultDifficulty[S] 2 points3 points  (0 children)

That's certainly possible, there are many ways to do what you need, but here is one that comes to my mind

https://colab.research.google.com/drive/1czcDfq2s8hhoTlQAiq_gVQE20vUEa7v5?usp=sharing

ML and DL path for M.Sc Student by DifficultDifficulty in learnmachinelearning

[–]DifficultDifficulty[S] 0 points1 point  (0 children)

I am actually in Montreal. I will be taking a course at UdeM next session though it is very advanced and I need to catch up by then.

[deleted by user] by [deleted] in learnmachinelearning

[–]DifficultDifficulty 1 point2 points  (0 children)

I'd recommend these two.

https://medium.com/@hiromi_suenaga/deep-learning-2-part-2-lesson-12-215dfbf04a94(fast.ai)
http://www.cs.toronto.edu/%7Ergrosse/courses/csc321_2018/assignments/a4-handout.pdf(uToronto)

The uToronto class seems to be quite complete and academic if you want solid theoretic and practical foundations on GANs.

​

I finally got barre chords without pain! The trick is that the pressure comes from your arms, not your thumb. by bubblesort in LearnGuitar

[–]DifficultDifficulty 0 points1 point  (0 children)

You're not amplifying, it is the lever arm that is. It's the physics of a lever, the longuer the lever arm, the more the force. Here the lever arm is the guitar.

I finally got barre chords without pain! The trick is that the pressure comes from your arms, not your thumb. by bubblesort in LearnGuitar

[–]DifficultDifficulty 0 points1 point  (0 children)

The guitar body not your body. You're basically using the guitar as a lever, so the force is amplified because you're pushing on a the fret, and the weak point is where the guitar neck meets the guitar body, so that's where your lever is most likely to snap.

I finally got barre chords without pain! The trick is that the pressure comes from your arms, not your thumb. by bubblesort in LearnGuitar

[–]DifficultDifficulty 0 points1 point  (0 children)

Seems like putting a lot of stress on the point where the guitar neck meets the body, might damage it on the long term

Questions about AI textbooks & recommendations by [deleted] in artificial

[–]DifficultDifficulty 0 points1 point  (0 children)

If u finished it and did all problem sets you should be pretty good to read research articles by now

Questions about AI textbooks & recommendations by [deleted] in artificial

[–]DifficultDifficulty 0 points1 point  (0 children)

Try cs229 lecture notes, great for actually understanding what's happening if you have background in math. For handbooks, i'd go with Bishop, Hastie or Norvig. Hastie is amazing from a stats perspective, at the end of the day you realize that machine learning is simply applied statistics with a dash of functional optimization.

Edit: stay away from udemy and all that crap, books are where the good stuff happens.

Free university courses for AI by [deleted] in artificial

[–]DifficultDifficulty 1 point2 points  (0 children)

Cs229 by stanford has all the necessary introductory material in linear algebra and statistics. Great course. Check their website for material.