Title: Computation-information gap in high-dimensional clustering. Abstract: We investigate the existence of a fundamental computation-information gap for the problem of clustering a mixture of ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.

Heidi Borst is a freelance journalist, healthcare content writer and certified nutrition coach with a love of all things health and wellness. Her work has appeared in The New York Times, The ...

Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...

Statistics, biostatistics, and data science are closely related fields. Broadly, they all teach a set of mathematical and computational skills for analysis and modeling of data, as well as ...

From organizing hackathons to tackling big data sets, one student finds inspiration in the college’s newest major. Parul Gupta stood on stage, beaming with joy as a representative from Major League ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. You'll gain a ...

The last decade has seen an explosion of data generation from individuals, businesses and institutions worldwide. As these organizations increasingly rely on data-driven decision-making, the demand ...