Mondelez International
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I was interviewed before Feb 2023.
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Algorithms like decision trees, random forests, and neural networks work by analyzing data patterns to make predictions or classifications.
Decision trees work by splitting the data into branches based on feature values, making decisions at each node.
Random forests use multiple decision trees to improve accuracy and reduce overfitting.
Neural networks mimic the human brain by processing data through layers of interconnec...
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I applied via Recruitment Consulltant and was interviewed in Nov 2023. There were 2 interview rounds.
Covariance measures the extent to which two variables change together, while correlation measures the strength and direction of a linear relationship between two variables.
Covariance can be positive, negative, or zero, indicating the direction of the relationship between variables.
Correlation is always between -1 and 1, with 1 indicating a perfect positive linear relationship, -1 indicating a perfect negative linear re...
Random Forest is like asking a group of friends for advice and making a decision based on majority vote.
Random Forest is an ensemble learning method that builds multiple decision trees and combines their predictions.
Each decision tree in the Random Forest is like a friend giving their opinion on a decision.
The final prediction of the Random Forest is based on the majority vote of all the decision trees.
For example, if ...
I applied via Company Website and was interviewed in May 2024. There were 3 interview rounds.
Sample data for market clustering was provided.
Encoder-decoder models are popular in sequence-to-sequence tasks, with advantages like flexibility and disadvantages like potential information loss.
Advantages: flexibility in handling variable length inputs/outputs, ability to learn complex patterns, widely used in machine translation tasks (e.g. Google Translate)
Disadvantages: potential information loss during encoding/decoding process, difficulty in capturing long-r
I applied via Referral and was interviewed before Mar 2023. There were 3 interview rounds.
The Gini coefficient is used in Random Forest to measure the impurity of a node.
Gini coefficient is a measure of impurity in a node of a decision tree in Random Forest.
It ranges from 0 (pure node) to 0.5 (impure node).
Random Forest uses Gini coefficient to decide how to split nodes during the tree building process.
Sales Executive
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Senior Sales Executive
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Territory Sales Incharge
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Area Sales Manager
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