Non Voice Associate
Non Voice Associate Interview Questions and Answers for Freshers
Q1. What is the human resources What is the public sector What is the humanity What is the child labour
Human resources refer to the people who make up the workforce of an organization, public sector is the part of the economy controlled by the government, humanity is the quality of being human, and child labor is the employment of children in any work that deprives them of their childhood.
Human resources are the employees, workers, or staff of an organization.
Public sector includes government agencies, public schools, and public hospitals.
Humanity encompasses qualities such as...read more
Q2. What is artificial intelligence
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
AI involves the development of algorithms that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Machine learning is a subset of AI that allows machines to learn from data and improve their performance over time without being explicitly programmed.
Examples of AI ap...read more
Q3. What is child labour
Child labour refers to the employment of children in any work that deprives them of their childhood, interferes with their ability to attend regular school, and is mentally, physically, socially or morally harmful.
Child labour is a violation of children's rights and is considered exploitative.
It can take many forms such as working in factories, mines, agriculture, domestic work, or as child soldiers.
Children involved in child labour are often deprived of education and proper ...read more
Q4. What is meschina learning
Meschina learning is a type of machine learning algorithm that focuses on predicting outcomes based on historical data.
Meschina learning uses historical data to make predictions about future outcomes.
It is a subset of machine learning that focuses on pattern recognition and predictive modeling.
Examples include regression analysis, decision trees, and neural networks.
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