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ITAM stands for IT Asset Management. There are various types of license types such as perpetual, subscription, and volume licensing.
ITAM is the process of managing the lifecycle of IT assets within an organization.
It involves tracking, maintaining, and optimizing the usage of IT assets to maximize value and minimize risks.
License types include perpetual licenses (one-time payment for indefinite use), subscription licen...
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I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.
Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.
Boosting is used to improve the accuracy of models and reduce bias and variance.
I applied via Walk-in and was interviewed before Feb 2022. There were 3 interview rounds.
All Logical questions plus coding
Some mcq questions and coding question. Both where easy to medium level. Prepare combination/permutation/Time complexity etc
A question related to Binary search and some other follow ups.
I applied via Naukri.com and was interviewed in Nov 2023. There were 2 interview rounds.
I applied via Naukri.com and was interviewed before Sep 2022. There were 3 interview rounds.
I applied via Company Website and was interviewed in Apr 2020. There were 4 interview rounds.
I applied via Naukri.com and was interviewed before Jan 2021. There were 2 interview rounds.
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