MATH 490 Capstone Notes and Updates
Last Updated: 2024-10-01
Date: 2024-09-27
- Met with Dr. McGuirk, talked more about finalizing talks.
- Looking into conferences and symposiums
- Honestly after looking through this stuff, I looked through NYU, Columbia, and just locally, theres not many to go to in a 3 month span. All of them require a good bit of money.
- I think I will set up an event at the school, and invite faculty and students to come purely for lecturing practice. I will flesh out this talk as I go, but I'm leaning towards talking about a PCA analysis, and using League gameplay data to do it. Depending on how far along in my Neural Network progress I get, maybe a brief prototype
- What am I working on?
- Book that I'm following: Neural Networks Chapter 1
- What did I work on for the week: Learning about GANS (Generative Adversarial Networks) The original GAN paper
- Working on a proof of concept having a neural network to recognize handwritten digits.
- Also working on writing up Paolo Gasti's machine learning algorithm linked below.
- Homework
- Finish reading through Paolo Gasti's Paper and develop some prototype of the algorithm
- Reading about alphas and degrading, Black-Scholz, Stone-Weirstrauss theorem, and the Alignment Problem.
- Develop prototype with 4-output neural network to recognize handwritten digits
- Problems about distributions and probability theory
- Make powerpoints for a talk, and flesh out my progress in short talks to give Dr. Katsnelson and Dr. Roy
Date: 2024-09-20
- Met with Dr. Mcguirk
- Discussed project ideas
- Machine Learning Algorithm for Finance based on word count events in the news
- Draft Analysis for upcoming League of Legends World Championship
- Auction House (Stock Market) analysis for World of Warcraft, finding profit margins
- Paolo Gasti's ML paper
- (Proof of Concept) Yahoo Webscraper
- Discussed project requirements
- Strong Github portfolio
- 3 talks need to be given: One at a conference, one in a room with Dr. Roy and faculty, and one at a seminar perhaps. (This isn't fully fleshed out, but we're working on it)
- I need to demonstrate proof of concept each week (If you're reading this Dr. Katsnelson, hello!)
- Set up a foundation for probability theory in Machine Learning
- Discussed sample spaces, events, and probability distributions
- Countability of infinite spaces