Tagged “learning”

Programming resources someone has built up over years. Like a "getting started" guide but they kept adding to it

not sure if I would actually find this useful, dense multi-arrowed charts are often hard for me to follow. Cool though!

when more familar with a topic, we use more jargon and write less directly

Graduate-level introduction to graph theory, for Math 530 in Spring 2022 at Drexel University

Don't stop at the first sentence like I did on first open.
Unless you want the opposite takeaway

great write up of working through some prompts and backgrounds used for some drawings. For some reason I particularly liked how they added birds

Some minigames and exercises to practice touchtyping

My suggestions:

• Animation Survival Guide
• Drawing in pen instead of pencil (commit to lines!)
• Character Art School on Udemy has been good

Thread features some good discussion on the "I've been doing it for decades and still learning" as encouraging or not.

Recommendations:

• Drawing on the Right Side of the Brain
• https://drawabox.com/
• Youtube. There is a higher level of skill in art then at any point in history and you have access to it.

Found via lightnote

drilling at 1000 most common words. Quite addictive

this is awesome. Dissecting and assembling different types of beats

Thanks Alexandria \U0001F49C

Recommended by some random HN commenter

Two key parts: start small and play slow!

Treating practice different to performance. Until you can actually play a piece just do drills, then gradually build up to larger sections. But do the drills slowly and correctly, rather than trying to play at actual speed with bad form.

Some good resources for free sheet music and other resources for learning music. On the actual site I saw the 'have Amazon print it for $9.53 paperback bound book', which is an interesting concept.

I actually started using Anki a little after this (installed it and set up some decks at least). Haven't stuck with it yet but we'll see

Love this term - this is exactly how I learn. Start by skipping over the details,
develop a coarse understanding, then refine your knowledge by learning about specific areas in more detail.

Interactive examples to learn through reading and play. I looked at a music one and it was one of the best visualisations of notes/harmony I've seen

Honestly, skip all of the courses. Pick a problem to solve, start googling for common models that are used to solve the problem, then go on github, find code that solves that problem or a similar one

There is mixed consensus on this. But copy-pasting snippets to solve my problems is how I've learned to program so far; why should ML be any different.

The best way to practice is to spend time thinking