Government agencies are awash in documents. Many of these documents are paper-based, but even for the electronic documents a human is still often needed to process and understand those documents to ...

Computers have made it possible to collect vast amounts of data from a wide variety of sources. It is not always clear, however, how to use the data, and how to extract useful information from them.

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

In this talk, I will discuss some of my recent and surprising findings on the use of hashing algorithms for large-scale estimations. Locality Sensitive Hashing (LSH) is a hugely popular algorithm for ...

SEATTLE--(BUSINESS WIRE)--Today, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced that the National Football League (NFL) has selected AWS’s machine learning and data ...

Choosing a career path in tech can feel overwhelming when both options sound exciting but unclear. You might be drawn to the ...

What are the differences between econometrics, statistics, and machine learning? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better ...

A common machine-learning task is to learn a probability distribution over a very large domain. Examples include natural language processing and generative adversarial networks. But how should the ...