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Data Driven Marketing | Customer Data Platform | Ascent360

Ascent360 is a Data Driven Marketing Platform that helps you understand your customer base, grow your business and more.
Categories: Internet Services, Business
Topics: customer data platform, data driven marketing

Semrush Rank: 1,547,024
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Sites similar to ascent360.com - Top 33 ascent360.com alternatives

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The only customer data platform natively integrated with analytics to proactively improve data quality, discover new audiences, and sync behavioral data across your stack. . The method of iteratively reweighted least squares (IRLS) is used to solve certain optimization problems with objective functions of the form of a p-norm: a r g m i n β ∑ i = 1 n | y i − f i ( β ) | p , {\displaystyle {\underset {\boldsymbol {\beta }}{\operatorname {arg\,min} }}\sum _{i=1}^{n}{\big |}y_{i}-f_{i}({\boldsymbol {\beta }}){\big |}^{p},} by an iterative method in which each step involves solving a weighted least squares problem of the form: β ( t + 1 ) = a r g m i n β ∑ i = 1 n w i ( β ( t ) ) | y i − f i ( β ) | 2 . {\displaystyle {\boldsymbol {\beta }}^{(t+1)}={\underset {\boldsymbol {\beta }}{\operatorname {arg\,min} }}\sum _{i=1}^{n}w_{i}({\boldsymbol {\beta }}^{(t)}){\big |}y_{i}-f_{i}({\boldsymbol {\beta }}){\big |}^{2}.} IRLS is used to find the maximum likelihood estimates of a generalized linear model, and in robust regression to find an M-estimator, as a way of mitigating the influence of outliers in an otherwise normally-distributed data set, for example, by minimizing the least absolute errors rather than the least square errors. One of the advantages of IRLS over linear programming and convex programming is that it can be used with Gauss–Newton and Levenberg–Marquardt numerical algorithms.

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