What is Na?ve Bayes Algorithm?
Answers were Sorted based on User's Feedback
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.
| Is This Answer Correct ? | 2 Yes | 2 No |
Answer / parvendra
this algorithm is used to work on large databases
| Is This Answer Correct ? | 2 Yes | 3 No |
What was deep learning, & how does it contrast with other machine learning algorithms?
what is software cycle?give a diagramatic representation
What are the disadvantages of breadth-first search algorithm?
What is Back propagation in Neural Networks?
Sorting algorithms and time complexity of various algorithms.
Define Routing Algorithm?
Tell us why is naïve bayes machine learning algorithm naïve?
Give a general algorithm for converting a m-array tree to a 2-ary tree.
List the different algorithm techniques in machine learning?
What is the most efficient way to store 1 million phone numbers memory-wise?
A lot of questions were asked on sorting for eg. Best algorithm on the basis of number of swaps, number of comparisons etc.
What is bidirectional search algorithm?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)