Demystification of Data Science

By Dave Wagstaff, Chief Architect and CTO, Bsquare Recently, an increasing number of businesses have been challenged to deal with large amounts of data.  Not surprisingly, many businesses have adopted the methods of “data analytics” or data science to meet this challenge. Data science has a foundation in applied mathematics. One of the biggest differentiators from BI tools and other visual methods is that a data science approach is founded on approaches, methods, and algorithms with real mathematical meat behind them.  That does not mean that data science needs to be complex; many of the simplest approaches are often the most effective.  But, it does mean that there is real math being done on the data. Data wrangling/data cleaning/data munging is one of the most critical elements of data science.…

Link to Full Article: Demystification of Data Science

Pin It on Pinterest

Share This