The focus revolves around an interest in machine learning and its practical applications. Key tasks include collecting data sets, training and testing algorithms, and improving those algorithms, with some steps conducted manually and others programmatically.
Computer Science is linked to machine learning in the sense that I will be modelling a technical concept in a purely mathematical manner
Machine Learning is my main area of interest. For my IA it will involve: Collecting a dataset, training an algorithm, testing the algorithm, and improving the algorithm (this process will be done manually and only certain steps will be done through a program)
Veer's Math IA
Miscellaneous
The "Coast Line Paradox"
Modelling guitar chords
Proving why you cannot divide by zero
How to count past different types of infinity (natural numbers AND real numbers)
Modelling the sum of all natural numbers
Economics
Manually forecasting GDP (or other metrics)
Deriving the Gini Coefficient with real world data
Probability
Modelling the process of solving a rubix cube (finding the minimum number of moves required to solve...etc)
Modelling the chance of virus spreading
Modelling a card game with Game Theory
Predicting weather patterns
Machine Learning (Building Adaptive Algorithms)
Building a (simple) Neural Network from scratch
Building a Decision Tree Algorithm from scratch
Constructing the Logistic Regression Model from scratch
Computer Science
Exploring floating point addition and modelling its process(s)
Modelling sorting algorithms and their efficiency
(N/A) Constructing and improving an encryption algorithm