Caution! The site can't guarantee, that text has age permission. The site is not recommended, if you are less than 18 years old.
The site shows example sentences for English words. How the word or phrase could be used in a sentence?
" ... Integrating transaction, anti-money laundering, and other data enables analytics that provide richer context and greater dimensionality than traditional analytics. This gives a more complete picture into FinCrimes and enables well-coordinated and calibrated controls. ... "
" ... Knowledge bases are also ideal tools for integrating with Data Science pipelines: the flexibility of data production and the ability to map between ontologies (data languages) dynamically means that many of the big headaches involved in data analytics - de-duplication, cleansing, validation, dimensionality, ensuring consistent meaning in properties and resources, and so forth, the 90% of work that most data scientists have to do just to get data into a form that’s useful for analysis, can be done automatically. ... "
" ... The resources, physical and abstract, in a data model can be thought of as bones - they are the foundation on which the data model is built. Relationships are the muscles - they connect resources together, and it is the combination of the shape of the bones and the shape of the muscles that describes how the model works. Attributes are more like skin or dimensionality - they may affect appearance or relevance, but they can be changed far easier than relationships can. Of course, they also tend to be the first thing that many business analysts concentrate on (revenue, which is an attribute (and a calculated attribute at that) is almost as common a starting point as Customer. ... "
" ... This collection of strengths all help the Oppo’s picture look a touch more three-dimensional, too. In fact, it’s this three dimensionality that stands as the biggest difference between the two players’ HDR10 images when you’re letting a 4K disc play, rather than staring at a frozen frame. ... "
" ... • On the other hand, if there are more dimensions, the attributes or dimensions can be reduced using dimensionality reduction techniques such as principal component analysis (PCA), linear discriminant analysis (LDA), multicollinearity and more. ... "