Answer / john martin

The Microsoft Naive Bayes algorithm is a classification
algorithm provided by Microsoft SQL Server Analysis Services
for use in predictive modeling. The name Naive Bayes derives
from the fact that the algorithm uses Bayes theorem but does
not take into account dependencies that may exist, and
therefore its assumptions are said to be naive.

This algorithm is less computationally intense than other
Microsoft algorithms, and therefore is useful for quickly
generating mining models to discover relationships between
input columns and predictable columns. You can use this
algorithm to do initial explorations of data, and then later
you can apply the results to create additional mining models
with other algorithms that are more computationally intense
and more accurate.

Answer / parvendra

this algorithm is used to work on large databases

Give an example of an O (n) algorithm and O (n*n) algorithm such that the algorithm is slower.

0 Answers   Aspiring Minds,

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What features would you use to build a recommendation algorithm for users?

0 Answers   Twitter,

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Consider the following algorithm, where the array A is indexed 1 through n: int add_them ( int n , int A[ ] ) { index i , j , k ; j = 0 ; for ( i = 1 ; i <= n ; i++) j = j + A[i] ; k = 1 ; for ( i = 1 ; i <= n ; i++) k = k + k ; return j + k ; } (a) If n = 5 and the array A contains 2, 5, 3, 7, and 8, what is returned? (b) What is the time complexity T(n) of the algorithm?

0 Answers  

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what are the minimum requirements for statr testing?

0 Answers   QA,

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What is the uniform cost search algorithm?

0 Answers  

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what is software cycle?give a diagramatic representation

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How are the k-nearest neigh-bors (knn) algorithms different from k-means clustering?

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What is breadth-first search algorithm?

0 Answers  

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Which search algorithm will use a limited amount of memory in online search?

0 Answers  

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Which language is used for artificial intelligence?

0 Answers   Flextronics,

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What is Na?ve Bayes Algorithm?

2 Answers  

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What was deep learning, & how does it contrast with other machine learning algorithms?

0 Answers  

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