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I have a theory about parents (most often mothers, but I might be biased based on my experience!). When we are born, we pick up a suitcase filled with guilt. The contents may shift during flight, but it is almost always full. Some examples are: during pregnancy – whether or not
The next time you pick up a book, you might want to pause and think about the work that has gone into producing it – and not just from the authors.
Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks. As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Over time, machine learning has borrowed from many
We’re proud of our unique company culture that spans across offices, divisions and geographies. It’s one of the reasons SAS was recently named among the top workplaces in the world by Fortune’s Great Place to Work! If you’re curious about what it is that makes SAS such a great place to work, one answer
Rockin' around the Christmas tree At the Christmas party hop. – Brenda Lee Last Christmas, I saw a fun blog post that used optimization methods to de-noise an image of a Christmas tree. Although there are specialized algorithms that remove random noise from an image, I am not going to
Stuttgarter Zukunftssymposium - was werden Maschinen in Zukunft wirklich sein - Angst also vorbei?
Gespräch mit Johannes Fuhr über Bedeutung vom Netzwerken: Meetups sind Jobbörsen und Wissensvermittlung für Startups in einem.
Gespräch mit Helmut Linde von Merck über seine Meetup-Ambitionen. Helmut ist ein begehrter Gastredner in der Data Science Szene Rhein-Main.
I can tell that my area (Wake county, NC) has a growing population, because the traffic keeps getting worse and worse. But it's a little difficult to quantitatively gauge growth by looking at traffic congestion. Therefore let's have a look at a more direct measurement - the actual population data!
Parts 1 and 2 of this blog post discussed exploring and preparing your data using SASPy. To recap, Part 1 discussed how to explore data using the SASPy interface with Python. Part 2 continued with an explanation of how to prepare your data to use it with a machine-learning model.
Bringing the power of SAS to your Python scripts can be a game changer. An easy way to do that is by using SASPy, a Python interface to SAS allowing Python developers to use SAS® procedures within Python. However, not all SAS procedures are included in the SASPy library. So,
Gespräch mit Helmut Linde von Merck über seine Meetup-Ambitionen. Helmut ist ein begehrter Gastredner in der Data Science Szene Rhein-Main.
I caught up with Ioannis Tsiliras, Director at OTE-COSMOTE, to discuss innovation, real-time and customer contact.
Jeff Stander helps us understand the different options of preparing data for analytics.
Who says that holidays have to be stuffed with belly-stuffing traditions? While the average American gains about one to two pounds between Thanksgiving and New Year’s Day, weight gain, indigestion and post-meal sluggishness do not have to be on your wish list.