Throughout my studies in psychology, I found the topics that discussed students with difficulties in the classroom the most interesting. Whether in the case of a reading impairment, a lack of self-control, or an inability ...

ISPIP is a meta-method designed to improve on previous classifiers by choosing components that use different strategies and using machine learning algorithms to train the model. It is based on Walder’s Meta-DPI, but ...

Kimura’s neutral theory of molecular evolution gave rise to several models by which to study genetic data. Such models include the infinite alleles model and the infinite sites model. We studied these models, and present ...

When ChatGPT was released to the public in late 2022, people quickly came to realize that many things were about to change. While teachers started to get headaches trying to figure out whether their students’ essays were ...

Classification is a fundamental task used in machine learning where the goal is to predict the category or class of given data points based on certain features. It is widely used across various fields especially in image ...

Since time immemorial, there has been a dispute amongst the Rabbis as to the length of time between Shekiah and Tzeit Ha-kochavim. Starting from the Talmud, there is a contradiction as to the length of time in mil between ...

Text classification is a machine-learning task of assigning labels to a given text. The texts can be categorized based on topics or the sentence’s sentiment like this is a positive or negative sentence. In my capstone ...

This paper provides an overview of collaborative filtering machine learning models, tracing their history, explaining their fundamentals, and discussing their strengths and limitations. Collaborative filtering is a popular ...

One of the most notable milestones in the world of Machine Learning was when models became capable of recognizing handwritten text. The ability to write a number, or an English letter, and have it be accurately recognized ...

In the realm of information retrieval, data mining, and machine learning, measuring the similarity between objects is a fundamental task. One powerful approach to quantifying similarity is through the use of vectors. Over ...