Centum Learning Deputy Manager Interview Questions and Answers

About Product development, content management

Q1. About privious JD, personal info etc
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Q2. About salary expectation and other benifits
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Q1. Different Machine learning algorithms
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Machine learning algorithms are models used to analyze data and make predictions or decisions without being explicitly programmed.
• Supervised learning algorithms: Decision Trees, Support Vector Machines, Linear Regression

• Unsupervised learning algorithms: K-means Clustering, Principal Component Analysis

• Reinforcement learning algorithms: Q-Learning, Deep Q-Networks
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Q1. Explain the working of neural networks
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Neural networks are a type of machine learning algorithm inspired by the human brain, consisting of interconnected nodes that process information.
• Neural networks consist of layers of interconnected nodes, including input, hidden, and output layers.

• Each node receives input, processes it using weights and activation functions, and passes the output to the next layer.

• Neural networks learn by adjusting the weights based on...read more
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Q2. Different cost function for regression
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Different cost functions for regression are used to measure the error between predicted and actual values.
• Common cost functions include Mean Squared Error (MSE), Mean Absolute Error (MAE), and Huber Loss.

• MSE penalizes larger errors more heavily, while MAE treats all errors equally.

• Huber Loss is a combination of MSE and MAE, providing a balance between robustness and sensitivity to outliers.
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Q3. SQL join operations on tables
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SQL join operations are used to combine rows from two or more tables based on a related column between them.
• Types of SQL joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

• INNER JOIN returns rows when there is at least one match in both tables.

• LEFT JOIN returns all rows from the left table and the matched rows from the right table.

• RIGHT JOIN returns all rows from the right table and the matched rows from th...read more
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Explaining the training strategy