R Package

In Data Science, an R Package is a collection of functions, data sets, and documentation that extends the capabilities of base R. R Packages are used to organize, share, and distribute code and data. They are essential for reproducible research and allow users to easily access and use complex statistical and graphical methods. R Packages can be installed from various sources, including the Comprehensive R Archive Network (CRAN), GitHub, and Bioconductor. They can also be created and shared by individuals or organizations. R Packages are typically developed using the R programming language and can be used in a variety of fields, including data analysis, machine learning, and statistical modeling.

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Bias And Discrimination: Bias and discrimination refer to the unfair treatment of individuals or groups based on certain characteristics such as race, gender, age, or religion. In the context of data science and artificial intelligence, bias and discrimination can ... Read More >>
Time: In Data Science, time refers to the measurement of the duration between events or the sequence of events. Time is a critical factor in many data analysis tasks, such as forecasting, trend analysis, and anomaly detection. Time-series data is ... Read More >>
Forward-Backward Algorithm: The Forward-Backward Algorithm is a dynamic programming algorithm used to compute the posterior marginals of hidden states in a Hidden Markov Model (HMM). It is a two-pass algorithm that first computes the forward probabilities, which are t ... Read More >>

R Package

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