The Emerging World of Neural Net Driven MT
Originally posted here, where you can see all the graphics. There has been much in the news lately about the next wave of MT technology driven by a technology called de...
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Ten simple rules to use statistics effectively
Under growing pressure to report accurate findings as they interpret increasingly larger amounts of data, researchers are finding it more important than ever to follow so...
DataViZ, Data Science and Machine Learning White Papers – Part 4
Here are some white papers about Tamr, Lavastorm, Teradata, Rapidminer, Looker, Thingworx, and DataRobot : Tamr Three Problems that Sabotage Analytics and How to Fix Them...
Characteristics of Good Visual Analytics and Data Discovery Tools
Visual Analytics and Data Discovery allow analysis of big data sets to find insights and valuable information. This is much more than just classical Business Intelligence...
Community of experts, project collaboration and other updates on the FlyElephant platform
The FlyElephant team is happy to announce the release of the platform FlyElephant 2.0, with following updates: internal expert community, collaboration on projects, pub...
What exactly is Data Science?
Reading some recent blogs, I sense a level of angst among Data Science practitioners about the nature of their field. What exactly IS Data Science – a question that...
CRISP-DM – a Standard Methodology to Ensure a Good Outcome
Summary: To ensure quality in your data science group, make sure you’re enforcing a standard methodology. This includes not only traditional data analytic projects ...
On-going Developments and Outlook for Deep Learning
Overview There are huge numbers of variants of deep architectures as it’s a fast developing field and so it helps to mention other leading algorithms. The list is inten...
Marketing & Advertising: Stats and Data Analysis
With marketing and advertising gaining more space on the internet, big data analytics are playing a prominent role in following the trends on the market and providing use...
A methodology for solving problems with DataScience for Internet of Things – Part Two
Many thanks for the retweets and feedback on Part one of this blog A methodology for solving problems with DataScience for Internet of… Here is Part Two Here we e...