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Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
github.com /DapperLib /Dapper Dapper is an object–relational mapping (ORM) product for the Microsoft .NET platform. It provides a framework for mapping an object-oriented domain model to a traditional relational database . [ 4 ]
For count type response variable data it deals with over-dispersion by using proper over-dispersed discrete distributions. Heterogeneity also is dealt with by modeling the scale or shape parameters using explanatory variables. There are several packages written in R related to GAMLSS models, [3] and tutorials for using and interpreting GAMLSS. [4]
Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [1] [2] It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages.
The open source code is developed and hosted on GitHub [11] and a public support forum is maintained on Google Groups [12] and Gitter. [13] Gensim is commercially supported by the company rare-technologies.com, who also provide student mentorships and academic thesis projects for Gensim via their Student Incubator programme. [14]
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
The book is one of the most influential computer science books of its time and, like Wirth's other work, has been used extensively in education. [2] The Turbo Pascal compiler written by Anders Hejlsberg was largely inspired by the Tiny Pascal compiler in Niklaus Wirth's book.
It was developed by Steven Bird and Edward Loper in the Department of Computer and Information Science at the University of Pennsylvania. [5] NLTK includes graphical demonstrations and sample data. It is accompanied by a book that explains the underlying concepts behind the language processing tasks supported by the toolkit, [6] plus a cookbook ...