For my final project in Data Mining, we were given a dataset, the Wisconsin Breast Cancer Database, and asked to apply five different types of models to the data: KNN, Decision Tree, Random Forest, Polynomial SVM, Gaussian SVM, and a Multilayer Perceptron. For each of these model types, we actually Read more…
Introduction In order to create a surgery schedule for a hospital’s operating rooms, the hospital must predict how long each surgery will take. However, surgery durations are not deterministic, and hospitals must rely on the frequently inaccurate predictions of surgeons, where errors may result in underutilization of staff and resources Read more…
My second research is coming to a close next week, and I’ve been running a lot of ML experiments so I can have interesting results for my final report. However, one of the things slowing down my iterative process was the very slow training and testing process to get results. Read more…
Searching for Python Courses Online In the past, I’ve been asked by multiple people for recommendations on how to get started programming. However, when I looked online for courses, I honestly didn’t find anything online that met my criteria of free, beginner-friendly, and engaging (assigning students interactive assignments). Here are Read more…
In my review of the paper Probabilistic forecasting of surgical case duration using machine learning: model development and validation last week, I briefly mentioned the term CRPS. Today, I’ll go into a little more detail on what CRPS actually is and discuss its implementation in Python. What is CRPS? CRPS, Read more…
My second rotation has started on Monday, and I’ve decided to work with Dr. Chenyang Lu in the area of Machine Learning for Health. During the rotation, I’m going to be working especially close with York Jiao, MD, the Director of Anesthesia at the Shriners Hospital for Children in St. Read more…
Introduction Today is the final day of my first rotation with CJ and as part of the rotation requirements, I need to write a final report. In line with some of my other assignments, I’ve decided to complete this in the form of a blog! This post will contain three Read more…
Over the last week, I’ve mainly been expanding on my work from last week, with the dataset of moves represented as differences of compressed chess board states. In my blog post last week, I generated a dataset of 10 players, and plotted the results. The first thing I did this Read more…
In my Intro to Grad Studies class, we have been given an assignment to do an in-depth paper review for each of our rotations. I already posted a general literature review summarizing a few papers related to my rotation research area, but this assignment is also requiring us to elaborate Read more…
Last week, I went over some functions I created to compress a chess board state into a set of integers, based on the component functions created during the Stockfish evaluation process. For example, in the above position, we get the compressed board state of (0.9,0.05,-0.05,-0.42,0.31,0.0,-0.3,0.0). These values correspond to Material, Read more…