Intro to Machine Learning Course on Coursera
David Carlson
Assistant Professor of Civil and Environmental Engineering
Bio
David Carlson is an Assistant Professor at Duke University in the Department of Civil and Environmental Engineering and the Department of Biostatistics and Bioinformatics. His research is focused in machine learning and data-driven science. David is very interested in how modern machine learning and statistical techniques can be used not only for the analysis of large data sets, but also in the design of novel experiments to elucidate scientific understanding. He has developed algorithms and analytics methods for diverse engineering and health applications and frequently publishes his novel algorithms and methods in the machine learning literature. He received his Ph.D., M.S., and B.S.E. from Duke University, where he won awards for both graduate scholarship and teaching.
His intro to Machine Learning is recommended for TAST Students.
Intro to Machine Learning on Coursera
Experts explain complex a topic in five levels of complexity:
Wired YouTube playlist below:
An expert explains a complex subject in Algorithms
Duke Career Hub links to resume and CV writing guide:
https://careerhub.students.duke.edu/resources/resume-guide/
Professional Development Resources:
Information on individual career counseling (including resume, CV, cover letter, research, teaching and diversity statement critiques, and mock interviews.)
https://postdoc.duke.edu/resources/professional-development#skills