This is my first post in a year! Apologies, but I was busy with several things, including publishing my first book! It is called “A Tourist’s Guide to Cosmology”, and it is now available on Amazon. The goal of the book is really to provide a detailed source and “ground truth” for everything that is […]
Tag: mathematics
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2025 MLB Win Projections
We have designed and implemented a new machine learning model that projects the total number of wins for each team in a given season. We will update this each day. As of: Wednesday, August 13, 2025 Team Projected Wins (+/-4 Wins) Philadelphia Phillies 95 Milwaukee Brewers 92 Boston Red Sox 90 Los Angeles Dodgers 89 […]
Updated: March 17, 2025 Based on our ML algorithm as previously described here: https://relativitydigest.com/2024/12/28/nba-2024-2025-win-predictions/ Our updated win projections for the season are as follows (all predictions +/- 5 Wins) Team Predicted Total Wins (+/- 5) CLE 58 OKC 57 BOS 53 LAL 52 MIL 51 MIN 50 NYK 48 IND 48 MEM 48 LAC 47 […]
Below, are the predicted NBA team wins for the 2024-2025 seasons (within a margin of error of +/- 5 wins) based on our novel ML algorithm to predict team wins. We collected over 20 years of NBA team data and applied advanced nonparametric, nonlinear models to uncover the relationship between various performance indicators and a […]
Using a lot of data wrangling and NLP, I created a movie and tv show recommender: Basically, the user selects from the drop-down list their movie/tv show of interest, and the algorithm will recommend a combination of movies and tv shows that the user is most likely to be interested in. I tried to include […]
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Investigating Prime Numbers
In this post, I attempt to investigate the distribution of prime numbers and the famous Riemann hypothesis.
In the video below, I explain how to derive Kaluza Klein action which occurs from generalizing the Einstein-Hilbert action to five dimensions. The grand implication of this is that gravity and electromagnetism are unified!
Many textbooks when introducing ordinary least squares as a method to do regression (usually via introducing linear regression) don’t explain / derive the coefficients. Here, I explain how to do it using tensor/index notation.
By: Dr. Ikjyot Singh Kohli I wrote an extensive script in R that takes the most recent data available for the number of new/confirmed COVID-19 cases per day by location and computes the probability using statistical learning that a selected location will observe a new COVID-19 case (probability of observing a non-zero daily percentage return). […]
Relativity Digest 