Steve Urkel and Urkelbot, whose intelligence doubled every 2 minutes. Image Credit: ABC’s Family Matters
Steve Urkel from the world-famous ABC’s sitcom Family Matters was not a Data Scientist because in the 90’s we did not call them like that. But the nerdy teenage Urkel is no…Continue
Added by Pedro URIA RECIO on September 14, 2018 at 3:02am — No Comments
Like it or not, data-driven artificial intelligence algorithms and other high-tech robotic applications are coming to fill our jobs. An analysis by PwC estimated that up to 38 percent of current American jobs could be taken over by machines within the next 15 years.
Even white-collar jobs aren’t safe, since algorithms are capable of governing sophisticated tasks for machines in ways that previously were unthinkable, such as writing or distributing pharmaceuticals. The transition has…
There are lots of undergraduates are eager to do an internship in the data scientist post in a top companies. But unfortunately, they won't provide "Data science interns" rather they will provide an offer in "Software Engineer interns". If the student is enthusiastic in machine learning and statistical abilities, the company will consider that candidate for a "data analyst" post. The top companies which offers the minimum number of data scientist intern post.
8000+ jobs in 2016 and…Continue
This exercise was done to understand the software skills that are in high demand for Data Science. Analysis was done by extracting the job postings from popular online websites. The findings are interesting. R continues to be the most popular skill, found in 70% of the postings. Python follows as a close second. Surprisingly, in spite all the talk about "Big Data Science", SQL comes up third. This shows that traditional RDBMS still continue to be the base for machine learning work…Continue
There is no question that the USA (in fact, most of the world) would be well-served with more quantitatively capable people to work in business and government. However, the current hysteria over the shortage of data scientists is overblown. To illustrate why, I am going to use an example from air travel.
On a recent trip from Santa Fe, NM to Phoenix, AZ, I tracked the various times:
Added by Neil Raden on June 27, 2012 at 10:00am — No Comments