4/30/24. Advancements Yet to be Seen

Frank L -

Looking back, this research assistant opportunity at ASU has been an incredibly valuable experience for me, and I’ve certainly learned a lot of new things. I remember going from needing help setting up my computer environment and installing python, to learning how to create my own basic machine learning models with Tensorflow.

In fact, for my final product, I decided to create a machine learning model for making general predictions about the stock market based on quarterly macroeconomic signals like GDP growth, interest rates, and unemployment. It turned out to only have about a 73% accuracy rate, but I suppose that’s to be expected.

I’m incredibly grateful for the support of the professor and the PhD students that I’ve worked with. They’ve made it possible for me to grow and learn so much in such a short period of time.

Although my senior project is coming to end, I plan on continuing with my internship for at least another few weeks. I hope to see through the end of the GAN project and help out a little more with the AJP project. I’m also still uncontent with how much I know about coding AI models, so I’ll continue with my own studying and practice with Tensorflow.

My next steps will be to expand upon my current knowledge in college and hopefully these types of skills in a career. Right now, the plan is to double major in Computer Science and Business, because machine learning algorithms can be extremely useful in the field of finance. Thanks to this experience, I’d say that I’ve already gotten a pretty good head start, but I don’t expect the next few years to be a breeze either.

I’m looking forward to seeing what the future will bring. AI has had some amazing advancements just this decade, so who knows how it’ll transform the world later on.

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