Here's the 70/30 rule for learning machine learning: spend 70% of your time building projects and 30% on theory and courses. Most people do the exact reverse.
You want at least double the time hands-on — building, making mistakes, messing up on the computer — compared to watching tutorials or reading theory.
Then learn in public. Post your projects on GitHub. Write about what you're learning on LinkedIn. In machine learning, recruiters hire based on what you built, not just your certifications.
And don't tutorial hop. Pick one structured resource and finish it before jumping to the next thing.
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