Researchers from the University of Alberta and Alberta Health Services have developed a machine learning classifier algorithm that successfully predicts whether estrogen is sending signals to cancer cells to grow into tumors in the breast.
Hiring a data scientist is on the agenda for many companies these days, and the job market for this new profession is exploding. But interviewing data scientists is hard. The tech press sporadically publishes “best” interview questions that are nothing less than cringe-worthy.
A new research paper appearing in the PLOS ONE journal uses data analytics for a very unique purpose – to untangle the origins of one of the world’s best-known stories — the tale of Little Red Riding Hood. The paper is called “The Phylogeny of Little Red Riding Hood” by Durham University anthropologist Jamshid Tehrani. […]
When does Linear Algebra meet Broadway Musical? Well, just about never, except now with this beautiful piece sung by Gurdeep Stephens. The mathematical theory follows the song. What a way to learn an important component of machine learning. Singular Value Decomposition (SVD) plays an integral role in Principal Component Analysis (PCA), an unsupervised learning technique, […]
SiliconANGLE’s video production – SiliconANGLE’s video production – theCube – goes conference-hopping throughout the year speaking with top executives and industry thought leaders on the changing landscape of data-related professions. They put together a series of 6 interview vignettes that would be of interest to anyone in the data science field: The changing job market for data scientists : Advice from top bosses.