When Halloween is just around the corner and the festivities smothered with zombies and goblins, the last thing data science professionals seek to see are spooky stuff in data and analytics. Businesses invests a great deal of resources to get the data analytics game right. A smooth journey from Descriptive to Predictive to Prescriptive. While we embrace the dark side of this festival, here are som... »
We did a brief research on some good resources for available data sets. We’ve captured some great list of data sets that one could access and play with. * Please let us know any missing list on comment section. http://adni.loni.ucla.edu/ http://archive.ics.uci.edu/ml/ http://aws.amazon.com/datasets http://baseball1.com/statistics/ http://blog.freebase.com/2010/11/10/google-refine-previously-... »
Intro to Hadoop and MapReduce (Udacity) Self Paced Udacity English The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data. Computer Science: Programming & Software Engineering Hadoop, MapReduce, Big Data, Programming, Data Science, Sof... »
Creating charts and info graphics can be time-consuming. But these tools make it easier. It’s often said that data is the new world currency, and the web is the exchange bureau through which it’s traded. As consumers, we’re positively swimming in data; it’s everywhere from labels on food packaging design to World Health Organisation reports. As a result, for the designer it... »
Big data education has become big business. With projected massive talent gaps in the field of analytics, many professionals with and without quantitative backgrounds are choosing to complete graduate-level training. In response to this demand, universities worldwide are opening the doors to new programs. According to The New York Times, some dozens of academically-focused graduate programs have b... »
We all know that computers are pretty good at crunching numbers. But when it comes to analyzing reams of data and looking for important patterns, humans still come in handy: We’re pretty good at figuring out what variables in the data can help us answer particular questions. Now researchers at MIT claim to have designed an algorithm that can beat most humans at that task. [AI can now muddle ... »
The flight of refugees from troubled areas of the world has often been one of the most devastating consequences of warfare. Mass migration involving thousands of people travelling with no infrastructure in place to support their journey often leads to humanitarian catastrophe. Additionally, resources are often stretched both in the countries they pass through and the destinations where they hope f... »
Although it’s getting easier, ramping up on the COPY command to import tables into Redshift can become very tricky and error-prone. Following the accordion-like hyperlinked Redshift documentation to get a complete command isn’t always straighforward, either. Treasure Data got in on the act (we always do!) with a guide to demystify and distill all the COPY commands you could ever need... »
Your fantasy football team just went high tech. Like many businesses, the National Football League is experimenting with big data to help players, fans, and teams alike. The NFL recently announced a deal with tech firm Zebra to install RFID data sensors in players’ shoulder pads and in all of the NFL’s arenas. The chips collect detailed location data on each player, and from that data, things like... »
Data science continues to grow in significance in industry, particularly in industries like software, IT consulting and finance. Last year I shared results from O’Reilly Media’s annual salary survey in this field in Revealing Data Science’s Job Potential. They have just recently released results for their third annual Data Science Salary survey and here are some of their findings. Over 600 people ... »