Je m’appelle Franck. Je suis consultant. Depuis 2003, j’accompagne de grands établissements pour renforcer leurs dispositifs de lutte contre le blanchiment et le financement du terrorisme en déployant des progiciels. 17 ans sont passés, ils fonctionnent toujours. Problème : ils sont devenus des monstres ! Je prends conscience de ma
Tag: data science
The popular image of data scientists is very much a bit of a geek or nerd. However, that’s not strictly accurate. It may not be – as Harvard Business Review famously suggested – the sexiest job of the 21st century. But it is a long way from the perceived world
Las compañías son hoy más conscientes que nunca de la necesidad de basar su toma de decisiones de negocio en datos para que éstas sean lo más objetivas y fundamentadas posible. Esta tendencia está teniendo un impacto en la demanda de perfiles analíticos, capaces de interpretar los datos y extraer
Decision trees are a fundamental machine learning technique that every data scientist should know. Luckily, the construction and implementation of decision trees in SAS is straightforward and easy to produce. There are simply three sections to review for the development of decision trees: Data Tree development Model evaluation Data The
Remember Subconscious Musings? It was the name of the blog Radhika Kulkarni (now retired Vice President of SAS R&D) started in 2012. She wrote about trends that drove innovation and challenges that expanded the boundaries of what we thought was possible. It eventually evolved into what we now know as
En España se generan más de 22 millones de toneladas de residuos urbanos al año, según datos de la Alianza Residuo Cero, que apunta también a que solo un 30% de ellos acaban siendo reciclados. Para minimizar su impacto en el entorno es fundamental un sistema adecuado de gestión, ya
Skills shortages in data science affect every company and organisation that tries to automate and adopt AI over the next few years.
This post is the second in our Young Data Scientists series, featuring the motivations, work and advice of the next generation of data scientists. Be sure to check back for future posts, or read the whole series by clicking on the image to the right. Kai Woon Goh is
Through hyperparameter autotuning, you can maximize a model's performance without maximizing effort. While SAS searches the hyperparameter space in the background, you are free to pursue other work.
In February, SAS was recognized as a Leader in the 2020 Gartner Magic Quadrant for Data Science & Machine Learning Platforms report. SAS is the only vendor to be a leader in this report for all seven years of its existence. According to us, the topic of the research is
Most model assessment metrics, such as Lift, AUC, KS, ASE, require the presence of the target/label to be in the data. This is always the case at the time of model training. But how can I ensure that the developed model can be applied to new data for prediction?
This blog is a part of a series on the Data Science Pilot Action Set. In this blog we review all nine actions in Python. Have you noticed the button bar in the upper right-hand corner of the SAS Visual Data Mining and Machine Learning Programming Guide? This button bar
Data science can be a bit of a lonely job. It’s a shortage specialty, so many data scientists may be the only ones employed by their company. But they still need to learn about what’s new and exciting in the data science world. I caught up with Josefin Rosén about
I asked Jaimy van Dijk if it's true or false if analytics has huge potential in sport.
Another year, another traditional Christmas song or carol turned into a fun technology-related version! This is the sixth year and my ninth song. I hope you enjoy your 2019 holiday song, based on this famous tune. The Data Science and AI Song Computer vision processing on an open stack The
„Die Kommunikation in Rhein Main ist wirklich schlecht. Weder die Startups reden untereinander noch die Firmen.“
Are you looking for a Data Science easy button? The dataSciencePilot action set comes pretty close.
Nowadays, geeks are increasingly cool, and we’re all proud to let our inner geek out in public. This wasn't always so ...
There is a lot of excitement about AI, but somehow the reality is not really living up to the hype. At the moment, we don’t see enough real results or use cases emerging, even though everyone agrees that there is huge potential. I polled some of our experts to find
O testemunho de Maria do Carmo Castro Correia, que usufruiu do Software SAS e pôde comprovar, por experiência própria, a sua utilidade assim como o apoio incondicional dado pela equipa de pessoas que fazem parte do SAS. A relação do SAS com o mundo académico é algo que vem
Without the right data, any analytics initiative is just an illusion. For machine and deep learning efforts, new sources of data are always in demand. In a few of our Innovation at Scale study interviews, respondents pointed to the rising need for data hunters. I asked our resident guru on
Technological advancements are changing every industry – and the health care industry is no exception. The value of AI has never been greater than when it’s used to improve patients’ conditions and save lives. For example, Cancer Center Amsterdam joined forces with SAS to improve patient care outcomes with AI.