Skip to main content

Now

Here's what I'm up to currently:

Learning:

  • Udacity Deep Learning Nanodegree: I'm familiar with the fundamentals of DL, still taking this one to learn from the projects, as well as to get some practice with PyTorch.
  • mlcourse.ai: Seems like a good hands-on course on data analysis and traditional ML. Offers super detailed Kaggle kernels to learn from.

Reading/Listening: