React Native to Machine Learning

Question

I was a React Native Engineer a few times, I made a few modules that communicated with native code which I thought was the pinnacle of my React Native career, made different schemes, added push notifications, among other things. Things shifted after that. Life allowed me to become a Full Stack Developer, frontend and backend, what's next in my learnings? Machine Learning, data. Bring it on.

Predicting the future, that's where the fun is. One of the most basic forms of machine learning is linear regression. This is basically eye balling a straight line between the points in a cartesian plane. This line would reveal a trend into future points in the plane. If you want to get more specific than a linear regression you would need to use a more sophisticated approach. Machine learning models.

My idea is that I can evaluate how a software operates, the functions that get called the most in the program and predict their execution. Sort of like a caching mechanism. Only an idea for now, I have to wait until I learn what is possible or not.

Also got my Facebook and Microsoft badges back on my GitHub profile .

Comments

Nice journey from React Native to full stack—and now diving into machine learning sounds like an exciting next step! Your idea of predicting function calls to optimize performance is really intriguing. How are you planning to start learning machine learning concepts—any specific resources or projects in mind?

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Thank you!

https://www.codecademy.com/paths/machine-learning-engineer is what I've been using to learn machine learning.

Yeah, not sure how feasible that idea is now that I think of it. The call stack to call the model might be bigger than the call stack being optimized. I guess it depends. Thoughts?

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Sounds good, I'm also improving into this AI era.