What do yo mean by "Pure Statistics"? Machine learning is statistical models just with a focus on prediction, Same with deep learning. Deep learning, using a neural network and a loss function, is equivalent to building a parameterized statistical model describing the distribution of data.
Great, but how can I see the environmental R variables within the jupyter notebook? I am actually using jupyter notebook in VS code, but not being able to see/inspect the R variables is driving me nuts.
Hey I used to run r notebooks in vs code, now the Rkernel got corrupted, so i had to delete it. Now I am unable to install a proper kernel for running r-notebooks in vs code. Can you guide me through how to install Rkernel such that vs code can detect it?
Hi Neural, i have a question this resource can run native R in Jupyter?, I mean, can i run R code and all of the R packs with this, or just pure R code?
What do yo mean by "Pure Statistics"? Machine learning is statistical models just with a focus on prediction, Same with deep learning. Deep learning, using a neural network and a loss function, is equivalent to building a parameterized statistical model describing the distribution of data.
Worked perfectly, thanks!
Thanks for the quick vid, practical.
Great, but how can I see the environmental R variables within the jupyter notebook? I am actually using jupyter notebook in VS code, but not being able to see/inspect the R variables is driving me nuts.
Hey I used to run r notebooks in vs code, now the Rkernel got corrupted, so i had to delete it. Now I am unable to install a proper kernel for running r-notebooks in vs code. Can you guide me through how to install Rkernel such that vs code can detect it?
Hi Neural, i have a question this resource can run native R in Jupyter?, I mean, can i run R code and all of the R packs with this, or just pure R code?
You can install any library and use them. You should care about what R version is in notebook. If I'm wrong someone can correct me.