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Data annotation is the process of labeling data to make it usable for machine learning algorithms.
Data annotation involves adding tags, labels, or notes to data points.
It helps in training machine learning models by providing labeled data for classification or regression tasks.
Examples include labeling images with objects or categories, tagging text with sentiment or topics, and annotating audio with speech or music.
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I applied via Approached by Company and was interviewed before Mar 2021. There was 1 interview round.
A transformer is an electrical device that transfers electrical energy from one circuit to another through electromagnetic induction.
Transformers consist of two coils of wire wrapped around a magnetic core.
The primary coil is connected to the input voltage source, while the secondary coil is connected to the output load.
The transformer works on the principle of electromagnetic induction, where a changing magnetic field...
posted on 20 Jul 2024
Advanced reasoning and aptitude
Oops concepts from c++
I appeared for an interview in Feb 2025, where I was asked the following questions.
I applied via Company Website and was interviewed in Jun 2024. There was 1 interview round.
I applied via Company Website and was interviewed before Nov 2020. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in Dec 2018. There were 5 interview rounds.
posted on 2 Jan 2021
I applied via Naukri.com and was interviewed in Dec 2020. There was 1 interview round.
based on 1 interview
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