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Data modeling does not excite passion within programmers. ... Those of us who are in their mid-50s and older remember when object-oriented programming didn’t exist.
Data-oriented programming encourages us to model data as (immutable) data, and keep the code that embodies the business logic of how we act on that data separately. Records, sealed classes, and ...
Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day ...
In the OpenACC programming model, these three forms of parallelism (multicore, multi-threading and SIMT/SIMD) are called Gang, Worker, and Vector parallelism. The OpenACC programmer can express that ...
Topics include a review of multiple regression, assessing model accuracy, classification, resampling methods, model selection and regularization, nonlinear regression, tree-based methods, support ...
Data science prepares you for careers that explore patterns in large data sets and identify potential trends and insights. The program teaches skills in programing, modeling, machine learning, data ...
The best master's in data science programs combine technical depth, interdisciplinary learning, industry connections, and strong career outcomes. Top programs typically offer: Comprehensive coursework ...