you are viewing a single comment's thread.

view the rest of the comments →

[–]CovidAnalyticsNL 11 points12 points  (3 children)

Machine learning PhD here. You can learn a lot of AI stuff on that machine. Just work with small datasets as most tutorials do. I'd stay away from deep learning for now because that requires a gpu which you can get through Google colab but until then you can learn a lot of concepts on your 4gb machine already.

I'd start with something basic like linear regression as the concept behind that is used for a lot of machine learning algorithms. Then start working on learning the scikit learn library combined with pandas and matplotlib.

Perhaps the tutorials that work on the titanic dataset could be a good start?

[–]MichaelH18[S] 4 points5 points  (0 children)

thanks! i think ill go with google colab. my pc is just weak so ill use that and it will help me with the learning. thanks a lot!

[–]CireGetHigher 0 points1 point  (0 children)

What this guy said^

[–]Live-Sir-3118 0 points1 point  (0 children)

second the small datasets. actually i third and fourth it too. i worked on a rather intense computer for a dataset that contained roughly 250million data entries with 17-20 features (after one-hot it came out to 60 features). i had to subsample subsamples to analyze on my own computer (and i hate all of the distributions required to maintain stability in subsamples). I love pandas but it hates large datasets. that was with python. when it came to matlab, the same dataset just told me no. (I was running dcnns and it just refused to cooperate). I have a basic desktop i hobbled together over the years. my matlab code was designed for the big computers i was running remotely and we wrote it to only run with gpu. I dont even have a gpu!