I am actively
recruiting MSc students who are interested in researching
energy-efficient, and therefore sustainable, machine learning methods
for text analysis applications. Applicants must hold a BSc in Data
Science, Mathematics, Statistics, Computer Science, or related field. A
strong background in mathematics for machine learning and Python
programming is required.If you’re interested, provide the following information:• BSc unofficial transcript•
A demonstration that binomial logistic regression is equivalent to a
single-layer perceptron with a cross-entropy loss function
Research Interests
energy-efficien
machine learning methods for text analysis applications
About the Professor
Bio
Assistant Professor; Analytics & Statistics Program Lead. Visit Paul’s personal website at https://paul-sheridan.github.io/ to find out about him and his research activities.
Professor's Interests
Computational genomics Information retrieval Complex networks computational text analysis knowledge representation
Duties and Responsibilities
Applicants must hold a BSc in Data Science, Mathematics, Statistics, Computer Science, or related field.
A strong background in mathematics for machine learning and Python programming is required.