@edmonddantes4705

Totally agree. It's like beginning your ML journey with stable diffusion and backward stochastic processes 😂.

@gustavomaia2252

I am a beginner in ML, i start by math kkkk, i get the book "Pattern recognition and machine learning", but i realized that the math of high school aren't enough, so i studying linear algebra and multivariate calculus to hit the book. The feeling that brings me to ML was understand how it's works, so i trying to get the things from stratch. This is working for me, but may not work for another and this is the life.

@tejassrivastava6971

How about you creating a roadmap for beginners if possible? It'll help us a lot.

@MiuraBoy

I'd say start with understanding how logistic regression or a decision tree works. It's not too complex and will probably give you a quick sense of achievement. :) Trying to understand simple neural networks (MLP) is also quite nice. That's how I started,

@arsive02

True that. Starting with basics takes time. But it'll make concepts like transformers simple to understand

@agrikarem2021

feels good that I started last week by doing my own image classification-pilot. Now I have trained my own model with over 100 data points and the accuracy is ~90%.. I used VGG16, It's truly like magic..

@TroßbachPaul

Learn classification and regression, advanced algorithms, unsupervised learning and know your algebra/calculus

@meredithhurston

What's crazy is I started with transformers and I'm sure that was the 1st time I had touched python. It's been a wild ride. Ha!

@GuitarBob311

Starting out my degree in data science with linear algebra and statistics using Matlab and Rstudio. Also getting more comfortable with Python. Hope to learn about machine learning later after I have a foundation.

@monsieur_piyushsingh

Start with building a artificial general intelligence and then work your way back towards "how maths was created"

@arturtomasz575

True about implementing, training, fine-tuning, etc..
However...
How about (very) high-abstraction usage?
Using T-5 for in-context few-shot is pretty simple with hugging face and gets impressive very easily.
Similarly as second project using pre-trained LLM for embedding sentences into vectors and training just classifier for document classification or spam detection.

But yeah if you want to understand how neural networks run beneath the surface... Maybe start with perceptron or MLP...

@fabiano8888

Well, I started with Bumblebee. I kind of enjoyed it.

@MohammedSohail-c1e

Make a video on CycleGANs

@arhitbosetagore2939

Absolutely correct

@sushilkumar1267

Me wondering what's a transformer

@yolow8126

Ml will be hard I want to know how can we start with machine learning

@zalty8556

Hey do you have a roadmap currently know python but have only used it for web and games how can I start

@xXMaDGaMeR

Oka no way in hell that the person who said “start with transformers” knows shit about them. Cuz if he did, he wouldn’t be throwing out that suggestion.

@ko-Daegu

I dunno I never read AI papers while math and code is nothing new to me ..
I went thru attention is all you need I don’t see how Starting with transformers is a hard thing the model looks quite easy to me once I understood the concept of attention