For deep learning/NNs, Google Colab/Kaggle notebooks are where most people start. There are lots of cloud providers that are harder to set up on but might be ch

For deep learning/NNs, Google Colab/Kaggle notebooks are where most people start. There are lots of cloud providers that are harder to set up on but might be cheaper/faster for a particular project, but while Colab is limiting in some ways it's dead simple to use so you can focus on learning data science. There's a lot of talk about large models atm, but when you're learning you should probably stick to smaller models because the training time drastically reduces how fast you can iterate, and most jobs aren't NLP based anyway. Remember also that 99% of problems classical models are faster and just as good or even better than neural nets. Of course if you're interested in neural nets as a hobby, go for it, they're truly fascinating and you can do some amazing things just in Colab, but they still aren't the best option for most real world problems.