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 ...
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 ...
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 ...
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 ...
The NFL is joining Major League Baseball as an AWS customer, announcing a deal today to provide real-time statistics running on AWS. The NFL uses RFID tags in player equipment and the ball to capture ...
SAN FRANCISCO (Reuters) - Amazon.com Inc will provide a new set of real-time statistics and graphics on live baseball games later this season, expanding its cloud computing deal with U.S. Major League ...
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