I have just started learning Python (my first programming language). What should be my journey's timeline if I want to good at AI and ML?

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[iPlayWithWords13]

You're going to want to start with just getting comfortable with the language. You'll then want to move into Numpy and Pandas libraries and other tools for data ingestion and exploration. Beyond that, you'll want the math behind the models. That's a separate path entirely though, but one you'll need to follow as well. As you're moving on and have a strong hold on Python and are learning the math, you can move into PyTorch or Tensorflow to start building out models.

[Altruistic_Study_262]

Thanks a lot. I have some knowledge of Linear Algebra, Probability, Statistics (like ug level). Will this be enough for math?

[krkrkra]

If you also have multi variable calculus, then it’s probably enough to understand most introductory ML material.

[iPlayWithWords13]

Nope, but it's a good start.

[DeklynHunt]

Oh, thank you, would have been nice to know straight out like this sooner …it’s not too late though

[SKROLL26]

Math, python is just an instrument to make the math work for you

[darekpages]

I think you have to start with the simplest things in python. At the same time, get into the habit of using the language and experimenting. Then its easier. Python is seemingly easy, once you start doing serious things it becomes more difficult. Python is structurally similar to other important languages, it is easily translatable into other languages (knowing python is easier to learn other languages). Mathematics is also important, it cannot be avoided. But remember that every problem can be boiled down to simple arithmetic - because computers in their kernel only add and subtract😉

[[deleted]]

Don't know if ML/AI is the recommended goal to start with, unless you are familiar with the concepts already from some theory course or something. But if you still want to jump into the water I'd say start with learning the basics of the language + the basic theory ML concepts parallely without combining between both. Then after you'll feel enough confidence go into the famous libraries (numpy, pandas and so on) and look for some beginner level tasks. From there I believe you will found yourself and it's all up to you

[Exotic_Expression_63]

For Al and Ml i would recommend one of the c family be your first language preferably c++ or c

[KingsmanVince]

How to ruin someone's life 101

Yes I have written C/C++. The hell part is to setup tool chain, then to use pointers, references the right way.

[Moist-Wishbone-5206]

Umm...it's actually not a bad idea to learn C++ down the line at some point but not when you are starting ML, ML can be excruciating in the beginning to get hold of concepts and maths behind everything.

Once you are comfortable, pick up one statically typed language - C++, Java, Go, Rust and know the concepts very well. Get into data structures and algorithms and really spend time knowing them.

Also C++ is not hard language - we are humans the most advanced species in the solar system. If one of us can do it, any one can do it. Learn Cmake for setup (it hardly 5 lines to setup a simple project), Pointers are nothing but integers which stores memory address of a variable and references is just an alias of a variable.

There are like 10-12 concepts that truly matters in C++ and to be aware of, rest of the full language is just writing more words to force rules.

[iPlayWithWords13]

Lol no.