A new algorithm created by students in the master of information and data science program at the University of California, Berkeley, suggests there may be a science to creating a blockbuster rap.
Lisa Kirch has over 20 years of broad business experience and deep understanding of data science. As she was recently celebrating her graduation from Berkeley’s data science program, DataLeaders got together with her to chat about a very interesting project she has been working on for the last few months.
Anthony Abraham and Nikhita Koul are two delightfully earnest hip-hop fans who recently graduated of the Masters of Information and Data Science at UC Berkeley. For their capstone project, they and classmate Joe Morales designed the Rap Analysis Project, which applies “machine learning techniques and data science principles to a database of rap lyrics from 1980 to 2015.” Among other things, they've produced a model that can predict, based on lyrics, whether a rap track will be a hit.
On November 9, 2015, Marketplace Tech talked about Safe Harbor; the Rap Analysis project (datascience@berkeley capstone project), which uses data and machine learning to determine how to make a hip hop hit; and Toyota’s billion dollar investment in AI.
IT pros share their reading plans for the summer and recommend their all-time favorite books for technologists. Elon Musk or Malcolm Gladwell, anyone?
UC Berkeley School of Information Celebrates the First Graduating Class of its Online Master of Information and Data Science Degree Program
Online program produces new generation of professionals to meet growing demand for data scientists.