Hi Guest

HomePage

1 1

To improves our performance please Like Share Subscribe(Will boost us)

Which technique implicitly defines the class of possible
Question Posted on 14 Jan 2020

Home >> Programming Languages >> Machine Learning Axioms >> Which technique implicitly defines the class of possible

Which technique implicitly defines the class of possible

patterns by introducing a notion of similarity between data?
Choose the correct option from below list
(1)Linear Regression
(2)Multi-Linear Regression
(3)Hierarchical clustering
(4)SVM
(5)Kernel

Answer:-(5)Kernel
0
0




Most Visited Questions:-

Deep Learning Questions Answers
Below are the different Deep Leaning Questions and answer a More...

What is Gulpjs and some multiple choice questions on Gulp
Gulpjs is an open source whihc helps in building Javascript More...

Continuous Integration Questions Answers
Below are the 20 odd questions for CI or Continuous Integra More...

Derived relationships in Association Rule Mining are represented in the form of __________.
Derived relationships in Association Rule Mining are repres More...

Microservices Architecture Questions Answers
Below are the different questions on Microservices Architec More...




Other Important Questions
Does Logistic regression check for the linear relationship between dependent and independent variables ?
One has to run through ALL the samples in your training set to
Which of the following is not example of Clustering?
Effect of outlier on the correlation coefficient ______________
In a scenario, where the statistical model describes random






Most Visited Questions
Top Searches:asp net questions vb net questions sql query uddl questions class javascript Questions sharepoint interview questions and concept silverlight questions and concept wcf questions beans general knowledge ajax questions
PHP | Biztalk | Testing | SAP | HR |
     
 
Privacy policy | Terms and Conditions | Blog


If the copyright of any questions or content or syntax belong to you email us we will remove that(info@crackyourinterview.com or crackyourinterview2018@gmail.com)
 

1
Home About Us GroupChat
 
Sitemap Feedback Contact us