Text mining is a machine learning algorithm that I employ in my research and non-research projects. I analyze, model, and visualize text in R with numerous R packages and R functions. Text must be cleaned before the analysis, modeling, and visualization stages. Several steps are employed in the text cleaning process. R has the capacity
I receive questions all the time about the R programming language. R is one of my happy places and I can spend hours, days, and weeks programming. R is vast and its capabilities are extensive from employing data science, machine learning, neural networks, deep learning, apps development, interactive widgets for websites, etc. This is contrary
Sometimes when people hear that I am in a Doctoral program and working full-time simultaneously, they look at me and ask how are you doing this? For those who have completed the Doctoral journey, they get the Doctoral life as there are common experiences that all Doctoral students experience regardless of discipline. For those who
Artificial Intelligence is a fascinating discipline and application that I have been studying over the last year and recently began to investigate adapting and applying to my research projects. The discipline can be segmented into subdisciplines to include Machine Learning (e.g., Supervised Learning, Unsupervised Learning, Semi-Supervised Learning), Neural Networks, Deep Learning, etc. Artificial Intelligence emerged
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