What are some tips for a 15-year-old getting into Machine Learning?

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Asked By CoolCat123 On

I started coding last year, learning React JS and focusing on front-end development. But with AI advancing so quickly, I've decided to switch gears and focus on Python, machine learning, and eventually deep learning. I'm 15 and pretty good at math for my age, and I've already grasped some basic and advanced Python concepts. What should I focus on learning next? Any general tips or advice?

5 Answers

Answered By Innovator2023 On

How about getting a YOLO model set up? Hook it up to your webcam and start detecting objects! Once you see what you can create, your imagination will guide your next steps.

Answered By FutureDev On

If you're looking to work on more structured projects, consider building a local app using a RESTful API with Flask or FastAPI, a database with PostgreSQL, and a frontend using something like React. Also, explore web scraping with Selenium and BeautifulSoup for data.

Answered By TechieTom On

Try to create fun projects with Python! It's a great way to learn. I recommend starting with linear algebra since it's super important for ML. Just dive in and work on things that spark your interest.

Answered By CodeNinja89 On

The best advice I can give is to use your skills to build something interesting. Start with projects that you think would be cool to create or automate. Once you feel comfortable, try to build things that others might find useful too.

Answered By Critical thinker On

Don't get too caught up in the hype around AGI; it's a lot further away than people think. Focus on foundational skills like linear algebra, statistics, and even learning PyTorch.

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