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I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
Data annotation is the process of labeling data to make it usable for machine learning algorithms.
Data annotation involves adding metadata or tags to data points.
It helps in training machine learning models by providing labeled examples for the algorithms to learn from.
Examples of data annotation include labeling images with objects or categories, tagging text with sentiment or topics, and marking audio files with spee
I appeared for an interview in Aug 2017.
I appeared for an interview in Sep 2016.
I appeared for an interview before Nov 2016.
I applied via Walk-in and was interviewed before Jun 2020. There was 1 interview round.
I applied via Company Website and was interviewed before Jun 2020. There were 4 interview rounds.
MongoDB database algorithms are used for efficient data storage, retrieval, and processing.
MongoDB uses various algorithms for indexing, sharding, and aggregation.
Indexing algorithms include B-tree, hash, and text search indexes.
Sharding algorithms include range-based, hash-based, and zone-based sharding.
Aggregation algorithms include map-reduce and aggregation pipeline.
MongoDB also uses algorithms for query optimizati
I applied via Walk-in and was interviewed before Feb 2021. There were 4 interview rounds.
I applied via Referral and was interviewed in Jul 2020. There were 3 interview rounds.
I applied via Job Portal and was interviewed before Sep 2020. There were 3 interview rounds.
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