The Wonderful World of Machine Learning - Session 1
Details
This first session will be divided into 3 parts. During the first half hour, we'll work through the homework assignment. During the second half hour, we'll hear from Jay Swartz who'll talk about how machine learning is being used in real business applications. Finally, during the last half hour, we'll continue working through anything we didn't finish in the first half hour.
Sorry for the late notice on the homework, but I'd like you to give it a shot before our session. The first part of the assignment is to install jupyter notebook. If you are a Python user and have installed an Anaconda distribution, you should have it on your system. If you feel adventurous, add an R kernel to your jupyter configuration so that you can create notebooks that run either R or Python.
If you are an R user, google "latest version of anaconda" and install it on your system. Next, configure jupyter with an R kernel. This is not an option for you R folks. I found these links helpful when I did mine:
https://www.youtube.com/watch?v=I9a9Jj2A95g
https://irkernel.github.io/installation/
After you have jupyter installed and configured with your preferred kernel, go out to the repo for this series, navigate to https://github.com/MichaelSzczepaniak/WonderfulML/tree/master/docs/assignments and download either session01_r.ipynb if you are an R user or session01_py.ipynb if you are a Python user. Once you've downloaded locally, start up jupyter in the directory where you downloaded the notebook and try to open it up. If you can open the notebook, work through the problems in the notebook and be ready to discuss your answers.
If you have trouble with getting jupyter to work, I added and html version of the assignment here:
Download it locally and point your browser at the file because it doesn't render from github without some trickery.
Don't worry if you have trouble with some or all of these problems. They are designed to get your brains thinking in the right direction. I suspect that we'll be working through jupyter installation issues through much of the first half hour. We'll work through the solutions during the remaining first half hour and continue into the third after Jay's talk.