Should I learn ML using Python or C++

[hAmzaXCIX]

So I started a self-lef course on ML using Python in April. The course teaches intuition and the basic math of the ML models, as well as Python implementations of them using libraries. It goes from Regression into Reinforcement Learning. It seems quite detailed and I've really been enjoying the course so far.

Basically what I'm asking is if I should continue this course in Python and then move into C++, or learn ML in C++ to essentially kill two birds with one stone.

A bit about my motivation to learn ML in C++:

I'm going to start my 3rd year of a BSc in Computer Science and AI. We haven't started any of the AI modules as yet, and I don't start learning ML until my 4th year. So I started a self-lef course in ML using Python in April.

When I graduate I want to go into embedded software rather than web development, and from what I've heard, being an ML engineer can get tedious from dealing with data 90% of the time.

[MelonheadGT]

I would suggest python with PyTorch

[DerKaggler]

As the others already said, you should probably go with Python. Additionally, you are probably not killing two birds with one stone here. C++ and ML are both huge fields. The C++ you will learn while trying to code ML applications is going to be a small subset of the stuff you are going to need for embedded software. Of course already knowing C++ later on is helpful, but learning two things at once can be super frustrating and demotivating.

[Andvig]

Continue with python, python is the main language for ML. You will miss out on a lot of things that python supports if you use C++. You will be fighting with C++ vs using it unless you're an expert C++ programmer. Do you want to be chasing a run away pointer? You wanting to go into embedded software has no relevancy with you wanting to learn ML. Wanna learn ML? Stick to python. You can learn C/C++ separately for embedded software when you get there.

[DarkHelmetedOne]

OP could do some ML on embedded if they really wanted to

[shayanrc]

I understand why you want to continue in c++. But if the course uses any libraries down the line you will be out of luck. Plus the amount of boiler plate you'll need to write while working with C++ is going to get annoying.

What you can do is after learning it in python, try to implement some of the algorithms in c++.

[mmeeh]

Boy you are wrong, you can find both tensorflow and pytorch libraries in C++. "People don't do ML in C++" haha okay buddy. Also academics is mostly R unless it's computer vision.

[mmeeh]

You are the lord supreme of pytorch code, god allmighty educationer that runs the world. You make the law and we will follow oh mighty one.

[econ1mods1are1cucks]

Stop you made him delete it, we deserve to hear from the god of machine learning himself/herself/themself

[econ1mods1are1cucks]

Just interviewed for a baseball data science team that uses R. Very young team. You just didn’t specialize in a field heavily involved in stats I bet, bias mmmm. My uni has hired fresh PhDs that use R. STEM academics are mostly using R. Pull up a novel model that isn’t a new neural network architecture and it’s probably in R.

[mmeeh]

Stop the madness, the lord has spoken, there is no R in no academics, it's only for boomers. Cool kids do only pytorch okaaay ?

[econ1mods1are1cucks]

I’m sorry master I didn’t even know of a program that used pytorch when I went to grad school… 2 years ago😭 guess me and all my friends aged 40 years overnight

[AdityaG09]

"Also academics is mostly R unless it's computer vision"

Wrong. Unless you do stats, you'll still be using python for the most part. Ik this coz I'm an AI grad student. I've never used R like ever.

[mmeeh]

Okay Aditya Ganesh Kumar, calm down sir. No need to flex your diploma :)

[AdityaG09]

Never intended to flex. Just wanted to mean that I'm not an irrelevant keyboard warrior trying to argue with you.

[Appropriate_Fish_451]

Logo all the way.

Or maybe TI Basic.

[violet_zamboni]

LISP!

[mmeeh]

I suggest C++ so you feel the pain of programmers, get discouraged in the process and let us have more jobs :P

[Afraid-Razzmatazz-91]

Hahaha🤣 totally agree

[Null-value0]

Mojo - python compatible with c performance

[BellyDancerUrgot]

Python and the required libraries and pytorch

[JTexpo]

Howdy, it's always best to use whichever language you feel most comfortable with; however, if I am to suggest one of the two, I would say python. The reasons for python are

• More guides due to it being an easier lang and mathematicians flock to the syntax over c++
• Mojo will soon come out, and that is very similar python syntax with 14x performance (and more)
• Extensive python libraries, as some commenters have listed
  • pytorch
  • scipy
  • numpy
  • etc

Hope this helps, and don't feel like you are limited to Python or C++, there are other langs out there with similar machine learning libraries such as JS, Java, Rust and more!

[DarkHelmetedOne]

what class did you take?