Version 10.7.3 of Angoss Analytics Software Suite has been released for Windows and Red Hat Linux 7. This includes KnowledgeSEEKER, KnowledgeSTUDIO, KnowledgeREADER, and KnowledgeSTUDIO for Apache Spark. What’s New in Version 10.7.3: Decision Trees and Ensemble Tree Models Two new measures added in Decision Trees: Unadjusted log p-value and Bonferroni-adjusted log p-value. R and Python Language Integration R integration is now supported for R versions 3.5.x. Platform Support Angoss software is…
How do I change an Ordinal Variable to a Continuous Variable? March 13, 2018. by Dr. Eric Hart Not all ordinal variables can be treated as continuous. If the variable you’re considering is the result of a survey where people listed their satisfaction on a scale of 1 to 5, it doesn’t make sense to try to change this variable to a continuous variable, it is an ordinal variable, and should always be treated…
Differentiating Machine Learning, Artificial Intelligence, Data Science, Data Mining and Predictive Analytics
You can enter this question in an internet search engine and check what answers you get. Rather than doing that I will answer this question simply by “rewriting” history, so I can say it is “based on a true story”. During the Second World War, Alan Turing and his colleagues at Bletchley Park succeeded in building a machine that used electromechanical components to decipher the communications to and from German submarines operating in the Atlantic.
A recent blog post from James Haight at Blue Hills Research took a look at the average amount of time – and money – spent on inefficient data prep. The results were pretty sobering, to the tune of two hours per day spent on data prep which equates to roughly $22,000 per year, per analyst. That’s a pretty hefty price tag for a low value-add activity. Imagine if you had a team of…
The regulatory concepts involved with big data are still extremely new, as the technology has not been in the mainstream for more than a couple of years and laws take a while to formulate and pass in any nation.
Advanced analytics technology remains one of the hottest segments of the IT sector today, and this is expected to be the case for years to come thanks to several trends that make these solutions more desirable among the world's private and public industries.
As big data becomes a more central aspect of corporate strategy, many firms might be missing some of the more important steps toward optimal information governance in their backend systems and everyday operations.
Business intelligence solutions have been helping leaders identify opportunities for process and operational improvements for decades, but today's advanced analytics are far beyond those of the past in terms of effectiveness, efficiency and power.
As the big data marketplace moves closer to a point of mass-maturity, business leaders have begun to take new approaches to implementation and utilization.
With more companies leveraging big data solutions and storing massive quantities of information, experts, analysts, advocacy groups and government officials alike have been increasingly concerned about security and privacy.