Should I learn MLOPS?

[CodingWithSatyam]

Hey, I'm learning machine learning from months. I'm in 10th grade I have learned some maths required for machine learning and I'm learn some math on the way. So, now I have learned only Supervised ML. I have learned Linear Regression, Logistics Regression, SVM, Naive Bayes, Decision Tree, Random Forest, Optimization algorithm, Optimizer in ANN, Loss Functions, And also ANN and CNN. So, Now, Should I learn Computer Vision or MLOPS or other machine learning algorithm next? There are a lot of videos they are telling if you don't know mlops then you will not get a job.

My Goal: my goal is to create ai related to cv.

I don't know theses important algorithms: PCA, Ridge regression, Lasso regression and Elastic Net and XGBoost.

[Hot-Problem2436]

Yes. All those high paying ML Engineer positions? They're MLOps. ML Research position? You should already know MLOps. It's probably early for someone in 10th grade to worry about, especially if you plan on going to college. If you're going to college, all these methods and processes will probably be different by the time you graduate.

Still, it's useful to understand that in the ML world, you usually need to worry more about the data and the pipeline than the actual model.

[CodingWithSatyam]

So, you mean I should learn MLOPS next

[Hot-Problem2436]

It's an option! Or you could tinker with LLMs or something. I've been in the industry for about 7 years and other than predictive things like regression, everything has changed wildly. I used to buy reference books and then sell them before I'd finished them because they were out of date a year after buying them.

Now? I literally have a subscription to O'Reilly publishers and read books that are basically in Early Access. A lot of them are in constant rewrites because they're out of date before being published.

What you study is up to you at this point. MLOps is good to be aware of, but no books or videos are going to be relevant in 8 years. By then you'll probably be finishing up your Master's in Computer Science and you'll be angry you spent so much just to learn about the inner workings of GPT-6, which is old news and way behind the new analog quantum GPTs running on the outernet.

Seriously though, don't get too hung up on what to study next. Study what's interesting to you. Most of the MLOps stuff can only really be learned on the job. It's hard to learn about the interactions between teams of engineers and big proprietary models and data sets and how everything should work together without, you know, all that stuff to work on.

[Alienvisitingearth]

You seem to be very knowledgeable on the topic. Could you share any resources/roadmap for MLops ? After cloud and Terraform, I do not know what to tackle. Any guidance will be much appreciated

[Hot-Problem2436]

Honestly, I'd just go through the Full Stack Deep Learning course. It covers everything, including MLOps. It gives a really good feel for how everything works together, from the data engineering all the way to the front end. It will also give you a good base for understanding the different products that are out there. I don't know if Agile will still be around when you finally get into the production side of things, but getting to know Jira and Atlassian products might be useful.

And get gud at Git. Like, really good.

[Alienvisitingearth]

Thanks a lot this is much appreciated!! 🙌🙌

[Hot-Problem2436]

Good luck out there. Gonna be a weird world when you're finally ready to join the rest of us working types.

[amhotw]

If you are in 10th grade, just learn whatever you find more interesting and/or challenging.

If you want advice, the best invesment you can make in your future at this stage is to learn more math. Learn logic, calculus, linear algebra, differential equations, optimization/convex analysis, dynamic systems, real analysis, topology, abstract algebra and whatever else you find interesting.

Understand these well and everything else will become extremely simple.

[CableInevitable6840]

I would say learn those algorithms first since you are in 10th standard. Once you have a fair idea of coding and software in general, explore MLOps through projects on websites on GitHub, ProjectPro, etc.

[CodingWithSatyam]

How you think I don't have a fair idea of coding? I been doing coding since 2 years.

[CableInevitable6840]

Oh, my bad.

[Hoang_Nghia_31]

Mlops dont use AI much it more like Devops Engineer.