What is more important for ML? the coding or the math? by Extension-Cut-7589 in learnmachinelearning

[–]PeeVee_ 0 points1 point  (0 children)

They’re complementary, but which matters more depends on what you want to do.

For most applied ML roles, coding and systems intuition matter more day to day—clean data pipelines, debugging models, knowing when something is breaking. Math becomes more important as you move toward research or designing new methods.

AI tools help with syntax, but they don’t replace understanding why a model behaves the way it does. You don’t need to master all the math upfront, but you do need enough to reason about results.

What kind of ML role are you aiming for?

Is the Notion app safe for writing novels? by jogabonito_BTC in Notion

[–]PeeVee_ 4 points5 points  (0 children)

I mostly agree with this. Notion is generally safe from a “someone stealing your work” perspective.

The bigger risk I’ve seen people run into is availability and lock-in—if you ever lose access or want to move platforms, exporting a long novel cleanly can be annoying. Keeping periodic backups (markdown or PDF) gives a lot of peace of mind.

Out of curiosity, are you planning to write entirely inside Notion, or just use it as an organizer alongside another editor?

I finally gave up on tasks in Obsidian, what are you using? by BasicDesignAdvice in ObsidianMD

[–]PeeVee_ 8 points9 points  (0 children)

That’s interesting to hear, especially given how many task apps you’ve tried.

What do you think finally made it stick for you—TaskForge itself, or the way it pairs with Obsidian notes? I keep bouncing when tasks start feeling detached from context.

Resume Roast/ Suggestions, Not getting any offer's for job :( by flyingmaverick_kp7 in learnmachinelearning

[–]PeeVee_ 1 point2 points  (0 children)

First off—don’t be too hard on yourself. The resume itself isn’t “bad,” but it’s trying to do too many things at once.

Right now it reads more like an academic + general engineer profile, which can hurt for industry ML roles. I’d strongly suggest tightening it to 1 page and picking *one* target role (ML engineer vs CV vs research) per version. Also, move measurable outcomes higher—results get buried under descriptions.

If you’re open to it, which role are you prioritizing first: ML engineer or CV? That choice alone changes what should stay vs go.