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5 years agoContributor-Level 9
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5 years agoContributor-Level 9
Eligibility: Graduation in any discipline with min 50%
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5 years ago
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5 years agoContributor-Level 9
Eligibility: Graduation in any discipline with min 50%
Selection Procedure: Merit and Personal Interview
Career Prospects:
PRINT MEDIA (NEWSPAPER, MAGAZINE)
Journalist/ Photojournalist
Layout Designer/ Graphic Designer
Sub Editors
ADVERTISING AGENCIES/ CORPOR
New answer posted
5 years ago
Guide-Level 13
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Guide-Level 13
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5 years ago
Guide-Level 13
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5 years ago
Guide-Level 13
New answer posted
5 years ago
Guide-Level 13
1. Naive Bayes. Classification is a natural first step to machine learning and the Naive Bayes classifier combines that with the trending concept of Bayesian inference. Despite its simplicity, can address key problems like spam classification.
2. Map-Reduce. A simple and visual way of leveraging multiple computers to solve a single task. More on its different uses here: MapReduce Patterns, Algorithms, and Use Cases. All the best.
New answer posted
5 years ago
Guide-Level 13
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