Lena, the playboy model whose image became the standard for testing algorithms for image processing.

In November 1972, like every month, Playboy published its magazine dedicated to the adult male audience. However, of all the select models who posed for the magazine in the 1970s, and perhaps in the entire history of the brand, no one could have imagined becoming an icon beyond the eroticism that the magazine aims to do.

Photographer Dwight Hooker captured the iconic image that for almost 50 years would be used by hundreds of researchers.

Just this happened to Lena Forsén (previously Söderberg), a Swedish model, who at age 21 became the magazine’s playmate of the month. His moment at…


An example story of how great ideas are formed

In the first decade of the 19th century, the French inventor, merchant and weaver Joseph Marie Jacquard exhibited in Lyon, France, his most memorable and important invention for computing: an automatic weaving machine, capable of receiving instructions with punched cards as input, ¡150 years before were used by the scientific community!

Joseph had unknowingly invented a device ahead of his time. Although in a short time he was awarded with a medal of honor for innovating in the textile industry; no one had seen beyond the loom the power of perfored cards.

While Joseph was living in retirement after selling…


Una historia ejemplo de cómo se forman las grandes ideas

En la primera década del siglo XIX el inventor, comerciante y tejedor francés Joseph Marie Jacquard exponía en Lyon, Francia, su invento más memorable e importante para la informática: una máquina de tejer automática, capaz de recibir instrucciones con tarjetas perforadas como entrada, ¡150 años antes que fueran utilizadas por la comunidad científica!

Joseph, sin saberlo, había inventado un dispositivo adelantado a su época. Si bien al poco tiempo fue condecorado con una medalla de honor por innovar en la industria textil; nadie había visto más allá del telar el poder de las tarjetas perforadas.

Mientras Joseph vivía su retiro…


La historia del error en el código Fortran que provocó el tropiezo más grande en la carrera espacial

Corría el año 1962, y la carrera espacial entre Estados Unidos y la Unión Soviética estaba en su apogeo. ¿La meta? La Luna. Pero para ese momento ningún estadounidense había alcanzado el espacio, pero sí tenían en mente a quien sí: el soviético Yuri Gagarin quien unos meses antes, en abril de 1961, se convirtió en el primer hombre en estar en el espacio exterior, al superar la línea de Kármán, la cual indica dónde termina la atmósfera terrestre. En otras palabras, EUA iba en segundo lugar en una carrera de dos contrincantes.

Claro que el país occidental no se…


The story of the bug in the Fortran code that caused the biggest stumble in the space race

It was 1962, and the space race between the United States and the Soviet Union was at its peak. The goal? Moon. But by that time no American had reached space, but they did have in mind who did: the Soviet Yuri Gagarin who a few months earlier, in April 1961, became the first man to be in outer space, by overcoming the Kármán line, which indicates where the earth’s atmosphere ends. In other words, the USA was second in a two-opponent race.

Of course, the occidental country would not give up. And they were aiming to launch the first…


Discover the ideas you must have to enter the world of machine learning

To begin with, it is important to remember what does a data scientist do? In few words, this is the professional responsible of implementing his extensive knowledge of probability and statistics to generate Machine Learning models, focused on the prediction of events that allow answering key questions of a business. Although he adopts skills of the Data Analyst such as cleaning and visualizing data, his main strength is in training and optimizing machine learning models.

The foundation of machine learning

The bases of machine learning are found in theories developed in the middle of the last century. …


Descubre las ideas que debes tener para entrar al mundo del aprendizaje automático

Para iniciar, es importante recordar ¿qué hace un científico de datos? En pocas palabras, es el profesional encargado de implementar sus amplios conocimientos de probabilidad y estadística para generar modelos de aprendizaje automático, o Machine Learning, enfocados en la predicción de eventos que permitan responder preguntas clave de un negocio. Aunque adopta habilidades propias del Analista de Datos como la limpieza y la visualización de datos, su principal fortaleza está en entrenar y optimizar modelos de aprendizaje automático.

La base del aprendizaje automático

Las bases del aprendizaje automático, o machine learning, se encuentran en teorías desarrolladas a mediados del siglo pasado. …


A personal review with an unbiased touch from the people about Disney’s latest live-action movie: Cruella

After a global health crisis, the world seems to take back the reins of life before the Covid. One of the biggest manifestations of this is seen in the film industry. Movie theaters are beginning to open around the world, and people with less fear attend to see what platforms such as Netflix, Disney +, HBO, among others, have offered us in the comfort of our homes. But let’s face it, there is no way to go to the cinema to see the movie you like. Thus, Cruella was released with great fanfare in theaters in May 2021.

Cruella: Review

Since the…


Una reseña personal con un toque imparcial de la gente sobre la última película en live action de Disney: Cruella

Tras una crisis sanitaria mundial, el mundo parece retomar las riendas de la vida antes del Covid. Una de las mayores manifestaciones de ello se ve en la industria del cine. Las salas de cine empiezan a abrir en todo el mundo, y la gente con menos temor asiste a ver lo que por más de un año nos han ofrecido en la comodidad de nuestra casa plataformas como Netflix, Disney+, HBO, entre otras. Pero seamos sinceros, no hay como ir al cine a ver la película de nuestro agrado. …


A list of charts and recommendations to improve your next dashboard

Browsing the web I came across a page that allows you to create charts to visualize data loaded by the user. It allows you to graph for free, although it has a paid version. It allows you to give the graph a basic format and export it as an image. It’s called Charttt. It’s a basic editor, and maybe someone who doesn’t have a spreadsheet handy can help. It is new and it will surely include more utilities soon.

The page allows the user to choose only between nine graphs. There are nine common graphs, of which surely we have…

Damián

Anything I want and is related to data.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store