Saumik Narayanan

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Rotation 2 Final Report

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, Read more…

By Saumik, 2 yearsDecember 15, 2020 ago

Speeding up Machine Learning using Keras.evaluate() and Python Multiprocessing

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 Read more…

By Saumik, 2 yearsDecember 13, 2020 ago

An Interactive Exercise Book to Learn Python Better

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 Read more…

By Saumik, 2 yearsDecember 6, 2020 ago

Implementing Closed Form CRPS in Python

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 Read more…

By Saumik, 2 yearsNovember 29, 2020 ago

Paper Review: Machine Learning to Forecast Surgery Duration

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 Read more…

By Saumik, 2 yearsNovember 18, 2020 ago

Wrapping up Learning Chess Biases and Proposed Next Steps

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 Read more…

By Saumik, 2 yearsNovember 15, 2020 ago

Classifying Player Moves using Random Forests

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, Read more…

By Saumik, 2 yearsNovember 8, 2020 ago

Paper Review: Learning Human Biases in IRL

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 Read more…

By Saumik, 2 yearsOctober 31, 2020 ago

First Steps in Calculating Chess Player Biases

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 Read more…

By Saumik, 2 yearsOctober 27, 2020 ago

Compressing Chess Board States for Reinforcement Learning

Last week, I went over several papers in the area of Biased Inverse Reinforcement Learning and Fairness Criteria. I also brainstormed several possible next steps for research. After talking with CJ on Monday, we decided that the second option was Read more…

By Saumik, 2 yearsOctober 25, 2020 ago

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Recent Posts
  • A Brief Guide to Maia May 23, 2021
  • Predicting Move Times in Chess – Final Report May 3, 2021
  • Predicting Move Times in Chess – Status Update April 4, 2021
  • Predicting Move Times in Chess – Intro March 14, 2021
  • Working Harder, not Smarter in Pacman February 28, 2021
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