I frequently feel overwhelmed by the sheer volume of tutorial material I now have. I need to focus on one thing, and stick with it long enough that I don’t need to come back to it again. So for better or worse I’ve decided to focus on unsupervised learning. I even bought a shiny new (Kindle) book despite already having a couple on this subject. Retail therapy.
So this one uses Tensorflow for it’s examples, and I set up a new Docker environment with Tensorflow and the standard data science libraries. All the code files that come with the book are in Jupyter Notebook format, and I don’t like that much because I can’t easily inspect the values of variables (and check the types) as I go. Currently my PyCharm is not set up to run notebooks from Docker. I believe it’s possible (something about exposing ports) but not a high priority for me at the moment. I can just use Google Colab if I really want to run the notebooks.
Anyway, it’s pretty easy to open the notebook in PyCharm even if I can’t run it there, and copy the code into a py file with minor adjustments where needed to get that to work, such is inserting print statements rather than just having the notebook print the last returned value in a cell.
Will Unsupervised Learning help me with my trading? Who can say? I do actually have a Quantra course on that very subject, but I’m hoping to gain a more holistic view of unsupervised learning so that I can explore it in more depth.