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The eigenvalues of a matrix are not easy to compute. It is remarkable, therefore, that with relatively simple mental arithmetic, you can obtain bounds for the eigenvalues of a matrix of any size. The bounds are provided by using a marvelous mathematical result known as Gershgorin's Disc Theorem. For certain
Desde el primero de mayo, la GDPR (Reglamento General de Protección de Datos de la Unión Europea) pasó a ser de cumplimiento obligatorio. Eso significa que todas las organizaciones que manejan datos de ciudadanos europeos (sin importar dónde estén ubicadas) deben cumplir con los más altos estándares de transparencia y
Marathons seem to be popular these days, therefore I decided to dive into some data and find a way to apply analytics. You might find this interesting if you're a fan of marathons - or if you like seeing the details behind cool graphing techniques! Before we get started, here's
In this blog, I use a Recurrent Neural Network (RNN) to predict whether opinions for a given review will be positive or negative. This prediction is treated as a text classification example. The Sentiment Classification Model is trained using deepRNN algorithms and the resulting model is used to predict if new reviews are positive or negative.
Jim Harris shares three more examples of how data quality improves AI in Part 2 of his series.
If you spend any time working with maps and spatial data, having a fundamental understanding of coordinate systems and map projections becomes necessary. It’s the foundation of how spatial data and maps work. These areas invariably evoke trepidation and some angst, even in the most seasoned map professional. And rightfully
La IFRS17 trae consigo retos y desafíos que deberán ser abordados por el sector asegurador y reasegurador con la importancia que el caso amerita, no es un simple ajuste a la contabilidad, sino que tendrá un impacto considerable en las operaciones de las compañías de seguros y de manera más
Para quienes trabajamos en el mundo de la analítica, nos resulta cada vez más sencillo explicar cuál es el impacto social de nuestro trabajo y por qué el desarrollo de esta ciencia -que tomamos profesionalmente- es un tema que nos apasiona tanto. Nosotros sabemos que la analítica es capaz de cambiar el
Analytics has an important role to play in supporting the police to keep our communities safe, and I believe the benefits can be far-reaching. In my previous three posts, I discussed the role analytics can play in policing, reviewed the required data and highlighted a police force that is currently
Recently I wrote about how to compute the Kolmogorov D statistic, which is used to determine whether a sample has a particular distribution. One of the beautiful facts about modern computational statistics is that if you can compute a statistic, you can use simulation to estimate the sampling distribution of
As a publishing house inside of SAS, we often hear: “Does anyone want to read books anymore?” Especially technical programmers who are “too busy” to read. About a quarter of American adults (24%) say they haven’t read a book in whole or in part in the past year, whether in
Did you know that you can run Lua code within Base SAS? Learn more about what PROC LUA can do through some examples.
We recently had some severe storms come through North Carolina, which even spawned a tornado in Wake county (the county where I live and work). This got me wondering when and where we've had tornadoes in NC in the past ... and, of course, I had to create a map!
A long time ago, I was working on analytics in a bank, primarily in the area of risk. One project I worked on was about working out which products were profitable to help clean up the product portfolio. The project involved people from both risk and finance. As we worked
In the article Serverless functions and SAS Viya - a good match I discussed using serverless functions to deliver SAS Viya applications. Ignoring all the buzz words, a serverless function boils down to a set of REST APIs. So, if you tried the example you are now a REST API