This past week, I completed two research assessments and began to work on my research speech slides. In my research, I got an overview of techniques used to interpret machine learning models. From those techniques, I explored the Shapley value in depth. This will help me as I choose algorithms to develop my original work. Unfortunately, I haven’t had much time to devote to my original work recently. This past week, I spent most of my time studying multiple integration for my Calculus III midterm. Thankfully, my professor didn’t make the test too difficult, with only twelve questions.
Though I’ve procrastinated my research speech slides too much, I’ve been thinking about how to make my topic more approachable. Personally, I felt a steep learning curve in ISM 1. It’s also difficult to explain concepts when I don’t entirely understand them because I don’t have a university foundation in computer science, data science, or chemistry. Nevertheless, I’m learning from speakers who’ve discussed my topic, and I’m looking forward to speaking. It helps that it’s early in the year, so my speech doesn’t have to be too long or content heavy, and I practiced for more extensive speaking last spring.
I’m excited to get my speech over with this Friday, and I hope to spend some time writing code for my original work afterwards.
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