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Their are many programming languages which are used for machine learning and data science. Here some of important and used by many tech firms and researchers. Python and R is important and widely used for data science and machine learning task. Both programming languages support large number of packages that makes the Implementation easy and fast.
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It al known as a graphical model or probabilistic graphical model (PGM) or structured probabilistic model. It is the probabilistic model for which a graph expresses the conditional dependence structure between random variables.
Probabilistic Graphical models (PGMs) are statistical models that encode complex joint multivariate probability distributions using graphs. Basically
PGMs divided into two categories:
Directed Graphical Models (DGMs), otherwise known as Bayesian Networks (BNs) and
Undirected Graphical Models (UGMs) or Markov Random Fields (MRFs).
In machine learning there are different types of segmentation are used. Segmentation, the technique of splitting customers into separate groups depending on their attributes or behavior, makes this possible.